Job Title: Senior Software Engineer (UI)
Location: Bangalore
About the Role
We build and operate a modern, cloud-based, AI-enabled analytics platform for Commercial Real Estate (CRE) organizations. The platform delivers scalable, secure, and high-performance analytics that transform complex operational data into actionable insights.
As a UI Engineer, you will focus on building polished, accessible, and performant user interfaces using React and TypeScript, integrated with GraphQL APIs and NestJS-based microservices. This role emphasizes frontend craftsmanship, engineering quality, and AI augmented development as a core expectation.
Responsibilities
Frontend Development
• Design, develop, and independently deliver moderately complex user-facing features using React and TypeScript with limited guidance.
• Build scalable, reusable UI components aligned with design systems and shared component libraries.
• Implement state management and data fetching using GraphQL (Apollo Client).
• Integrate frontend applications with NestJS-based microservices to deliver end-to-end product features.
• Apply sound engineering judgment within established frontend architecture and coding standards.
• Ensure high standards of performance, responsiveness, accessibility (WCAG), and cross-browser compatibility.
• Demonstrate ownership of UI quality, maintainability, and user experience outcomes.
UI / UX Collaboration
• Collaborate closely with UX designers to translate Figma designs, wireframes, and prototypes into production-ready interfaces.
• Implement pixel-accurate layouts with strong attention to spacing, typography, and visual consistency.
• Provide input on usability and UX improvements based on frontend implementation experience.
• Actively participate in design and technical discussions, contributing to team-level decisions.
Quality & Engineering Practices
• Write unit and component tests using Jest and React Testing Library to ensure reliable test coverage.
• Use Mock Service Worker (MSW) for API mocking in frontend tests.
• Participate in code reviews with attention to UI quality, performance, accessibility, and maintainability.
• Maintain and improve frontend build tooling using Webpack, along with linting and formatting via ESLint and Prettier.
• Follow CI/CD practices and contribute to frontend build and deployment pipeline maintenance.
• Support automated quality checks and continuously improve engineering standards and workflows.
AI Augmentation & Agent Development
• Use AI-powered development tools such as Cursor AI and GitHub Copilot across the SDLC to improve productivity in coding, testing, refactoring, and documentation.
• Build or contribute to basic AI agents and AI-augmented automation for frontend workflows, including:
UI test generation and maintenance
Component scaffolding and refactoring
Accessibility auditing and validation
• Actively explore and adopt emerging AI tools and practices that enhance frontend engineering velocity and code quality.
• Contribute ideas and improvements to developer productivity, tooling, and automation initiatives.
Collaboration & Growth
• Collaborate with backend engineers, product managers, and designers in an Agile environment.
• Participate in sprint planning, design reviews, and retrospectives.
• Share knowledge through documentation and technical discussions.
• Stay current with the React ecosystem, GraphQL best practices, modern CSS, and frontend tooling.
Qualifications
Basic Qualifications
• BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 3–5 years of professional software engineering experience with a strong focus on frontend / UI development.
• Strong proficiency in React and TypeScript.
• Solid understanding of HTML5, CSS3, and modern JavaScript (ES6+).
• Experience integrating frontend applications with GraphQL APIs.
• Familiarity with microservices architectures and frontend–backend integration patterns.
• Experience with Git and collaborative development workflows.
• Hands-on experience using AI-assisted development tools in day-to-day engineering work.
Preferred Qualifications
• Experience working with or alongside NestJS-based microservices.
• Familiarity with GraphQL client libraries such as Apollo Client.
• Experience with frontend testing tools including Jest, React Testing Library, Cypress, or Playwright.
• Exposure to frontend performance optimization techniques (lazy loading, code splitting, memoization).
• Familiarity with design systems, accessibility tooling, and component-driven development.
• Exposure to LLM APIs, agent frameworks, or AI-enabled frontend automation.
Suggested Skills
• React / TypeScript
• GraphQL (Apollo Client)
• UI Architecture & Design Systems
• Frontend Testing (Jest, RTL, MSW)
• Build & Tooling (Webpack, ESLint, Prettier)
• CI/CD for Frontend
• AI-assisted Software Development & Automation
Additional Information
• AI-assisted development is a core expectation for this role.
• The team builds modern UI systems backed by GraphQL, NestJS microservices, and intelligent automation.
• This role offers opportunities to deepen frontend expertise while influencing how AI improves developer productivity and UI quality.
About JLL Technologies:
JLL Technologies is a division of JLL, a world leader in real estate services. We are shaping the future of real estate for a better world by combining world-class services and advisory with innovative technology. JLL has invested more in technology than any other commercial real estate company, enabling us to develop industry-leading AI-powered solutions. We are committed to fostering a diverse and inclusive culture where our people can thrive and grow meaningful careers.
Responsibilities
Job Title: Senior Software Engineer (UI)
Location: Bangalore
About the Role
We build and operate a modern, cloud-based, AI-enabled analytics platform for Commercial Real Estate (CRE) organizations. The platform delivers scalable, secure, and high-performance analytics that transform complex operational data into actionable insights.
As a UI Engineer, you will focus on building polished, accessible, and performant user interfaces using React and TypeScript, integrated with GraphQL APIs and NestJS-based microservices. This role emphasizes frontend craftsmanship, engineering quality, and AI augmented development as a core expectation.
Responsibilities
Frontend Development
• Design, develop, and independently deliver moderately complex user-facing features using React and TypeScript with limited guidance.
• Build scalable, reusable UI components aligned with design systems and shared component libraries.
• Implement state management and data fetching using GraphQL (Apollo Client).
• Integrate frontend applications with NestJS-based microservices to deliver end-to-end product features.
• Apply sound engineering judgment within established frontend architecture and coding standards.
• Ensure high standards of performance, responsiveness, accessibility (WCAG), and cross-browser compatibility.
• Demonstrate ownership of UI quality, maintainability, and user experience outcomes.
UI / UX Collaboration
• Collaborate closely with UX designers to translate Figma designs, wireframes, and prototypes into production-ready interfaces.
• Implement pixel-accurate layouts with strong attention to spacing, typography, and visual consistency.
• Provide input on usability and UX improvements based on frontend implementation experience.
• Actively participate in design and technical discussions, contributing to team-level decisions.
Quality & Engineering Practices
• Write unit and component tests using Jest and React Testing Library to ensure reliable test coverage.
• Use Mock Service Worker (MSW) for API mocking in frontend tests.
• Participate in code reviews with attention to UI quality, performance, accessibility, and maintainability.
• Maintain and improve frontend build tooling using Webpack, along with linting and formatting via ESLint and Prettier.
• Follow CI/CD practices and contribute to frontend build and deployment pipeline maintenance.
• Support automated quality checks and continuously improve engineering standards and workflows.
AI Augmentation & Agent Development
• Use AI-powered development tools such as Cursor AI and GitHub Copilot across the SDLC to improve productivity in coding, testing, refactoring, and documentation.
• Build or contribute to basic AI agents and AI-augmented automation for frontend workflows, including:
UI test generation and maintenance
Component scaffolding and refactoring
Accessibility auditing and validation
• Actively explore and adopt emerging AI tools and practices that enhance frontend engineering velocity and code quality.
• Contribute ideas and improvements to developer productivity, tooling, and automation initiatives.
Collaboration & Growth
• Collaborate with backend engineers, product managers, and designers in an Agile environment.
• Participate in sprint planning, design reviews, and retrospectives.
• Share knowledge through documentation and technical discussions.
• Stay current with the React ecosystem, GraphQL best practices, modern CSS, and frontend tooling.
Qualifications
Basic Qualifications
• BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 3–5 years of professional software engineering experience with a strong focus on frontend / UI development.
• Strong proficiency in React and TypeScript.
• Solid understanding of HTML5, CSS3, and modern JavaScript (ES6+).
• Experience integrating frontend applications with GraphQL APIs.
• Familiarity with microservices architectures and frontend–backend integration patterns.
• Experience with Git and collaborative development workflows.
• Hands-on experience using AI-assisted development tools in day-to-day engineering work.
Preferred Qualifications
• Experience working with or alongside NestJS-based microservices.
• Familiarity with GraphQL client libraries such as Apollo Client.
• Experience with frontend testing tools including Jest, React Testing Library, Cypress, or Playwright.
• Exposure to frontend performance optimization techniques (lazy loading, code splitting, memoization).
• Familiarity with design systems, accessibility tooling, and component-driven development.
• Exposure to LLM APIs, agent frameworks, or AI-enabled frontend automation.
Suggested Skills
• React / TypeScript
• GraphQL (Apollo Client)
• UI Architecture & Design Systems
• Frontend Testing (Jest, RTL, MSW)
• Build & Tooling (Webpack, ESLint, Prettier)
• CI/CD for Frontend
• AI-assisted Software Development & Automation
Additional Information
• AI-assisted development is a core expectation for this role.
• The team builds modern UI systems backed by GraphQL, NestJS microservices, and intelligent automation.
• This role offers opportunities to deepen frontend expertise while influencing how AI improves developer productivity and UI quality.
About JLL Technologies:
JLL Technologies is a division of JLL, a world leader in real estate services. We are shaping the future of real estate for a better world by combining world-class services and advisory with innovative technology. JLL has invested more in technology than any other commercial real estate company, enabling us to develop industry-leading AI-powered solutions. We are committed to fostering a diverse and inclusive culture where our people can thrive and grow meaningful careers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Cloud Infrastructure Engineer (8+ Years)
Technical SKills:
• Google Cloud Platform (GCP): Expert hands-on experience with GCE, VPC, IAM, and Cloud Monitoring.
• Puppet: Expert level. Must be able to manage, troubleshoot, and write manifests for a large-scale internal VM fleet.
• Terraform: Deep experience with Infrastructure as Code (IaC) for provisioning and managing GCP resources.
• Ansible: Experience in automating application deployments and orchestration.
• Linux Systems: High-level Linux engineering/troubleshooting and shell scripting (Python/Bash).
• Networking & Security: Deep understanding of IP Whitelisting, Firewalls, and Load Balancing.
• Secure Connectivity: Hands-on experience with SSL/TLS certificate management and troubleshooting encrypted connections.
• Troubleshooting DB connection strings and networking between App tiers and Oracle backends.
• System Services: Experience in configuring and debugging Cloud and VM level core enterprise services.
• Good understanding of overall system architecture.
Added Plus :
• OpenShift : Experience moving legacy, monolithic apps from VMs into containers (GKE/OpenShift).
Qualifications and Expectations:
• BE/ Btech / MCA / MSc Computer Science with minimum 8+ years of experience in Cloud/SRE operations
• Lead Technical Execution: Act as the senior point of contact for all infrastructure-related issues.
• Mentorship: Provide daily technical guidance and code reviews for the junior cloud engineering team in India.
• Stability & Automation: Identify manual work and replace it with automated solutions.
• Proactively work on identifying issues and possible resolutions arising due to complex nature of infrastructure
• Documentation: Capture and formalize current "tribal knowledge" into technical playbooks.
Responsibilities
Senior Cloud Infrastructure Engineer (8+ Years)
Technical SKills:
• Google Cloud Platform (GCP): Expert hands-on experience with GCE, VPC, IAM, and Cloud Monitoring.
• Puppet: Expert level. Must be able to manage, troubleshoot, and write manifests for a large-scale internal VM fleet.
• Terraform: Deep experience with Infrastructure as Code (IaC) for provisioning and managing GCP resources.
• Ansible: Experience in automating application deployments and orchestration.
• Linux Systems: High-level Linux engineering/troubleshooting and shell scripting (Python/Bash).
• Networking & Security: Deep understanding of IP Whitelisting, Firewalls, and Load Balancing.
• Secure Connectivity: Hands-on experience with SSL/TLS certificate management and troubleshooting encrypted connections.
• Troubleshooting DB connection strings and networking between App tiers and Oracle backends.
• System Services: Experience in configuring and debugging Cloud and VM level core enterprise services.
• Good understanding of overall system architecture.
Added Plus :
• OpenShift : Experience moving legacy, monolithic apps from VMs into containers (GKE/OpenShift).
Qualifications and Expectations:
• BE/ Btech / MCA / MSc Computer Science with minimum 8+ years of experience in Cloud/SRE operations
• Lead Technical Execution: Act as the senior point of contact for all infrastructure-related issues.
• Mentorship: Provide daily technical guidance and code reviews for the junior cloud engineering team in India.
• Stability & Automation: Identify manual work and replace it with automated solutions.
• Proactively work on identifying issues and possible resolutions arising due to complex nature of infrastructure
• Documentation: Capture and formalize current "tribal knowledge" into technical playbooks.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description: Work directly with customer and assigned work to fulfilledPlan and manage end to end testing life cycle Assist with day to day production support as neededPlan and manage tickets through requirements gathering till Production movement including user acceptance testing activitiesAssist with Business on functional testing
Essential Skills: Must-Have(Ideally should not be more than 3-5)Salesforce Automation TestingManual Tester and knowledge on Selenium AccelQ automation tool. Good-to-HaveRequires strong expertise in Automation for both web and mobile platforms. The candidate will design, implement, and maintain manual and automated processes using the Selenium AccelQ automation tool.
Responsibilities
Job Description: Work directly with customer and assigned work to fulfilledPlan and manage end to end testing life cycle Assist with day to day production support as neededPlan and manage tickets through requirements gathering till Production movement including user acceptance testing activitiesAssist with Business on functional testing
Essential Skills: Must-Have(Ideally should not be more than 3-5)Salesforce Automation TestingManual Tester and knowledge on Selenium AccelQ automation tool. Good-to-HaveRequires strong expertise in Automation for both web and mobile platforms. The candidate will design, implement, and maintain manual and automated processes using the Selenium AccelQ automation tool.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : HiTech : Automation Testing~Salesforce~Selenium
Key Responsibilities:
• Stakeholder Engagement & Discovery
o Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements.
o Demo working solutions to internal stakeholders up to business leadership level.
o Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit.
o Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs.
• Solution Design & Architecture
o Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality.
o Translate architecture into implementation plans — break down into assignable streams for Developer and Associate.
o Own day-to-day technical decisions during build when the Architect is focused on other projects.
o Identify architectural risks early and escalate before they become build or production problems.
• Build, Scale & Production
o Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role.
o Scale solutions from POC to production: performance, reliability, monitoring, and cost management.
o Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery. Own all generated code.
o Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow.
• Team Leadership
o Guide Developer and Associate through implementation, code reviews, and debugging.
o Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding.
Responsibilities
Required Skills & Experience:
Must Have:
o LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable.
o LangChain — Advanced chains, memory, custom tool integration.
o AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model deployment, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query layers. Snowflake a plus.
o Systems Integration — REST API development, MCP awareness, enterprise system connectors.
o Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation.
o Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines.
o Observability — LangSmith or LangFuse — agent tracing, production debugging.
o Python — Expert-level — design patterns, async, testing, CI/CD.
o Multi-Model — OpenAI, Claude, Gemini, Llama — trade-offs at production scale.
o Pro Code vs Low Code — Working knowledge of Copilot Studio and Power Automate; build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements.
o Experience — 5–8 years total; 2–4 years production GenAI/LLM; 12–24 months multi-agent LangGraph; 3+ systems owned post-deployment.
Good to Have:
o AWS AgentCore Deep — All services hands-on.
o MCP / A2A — Server/client production implementation.
o Google Agentspace / Azure AI Foundry — Production experience.
o Document Intelligence — OCR, layout-aware chunking.
o Fine-Tuning — LoRA / QLoRA for domain adaptation.
o Certifications — AWS ML Specialty, Azure AI Engineer, GCP ML Engineer.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Software Engineer
JLL Technologies Centre of Expertise
About the Role
#JLLTechAmbitions
We are currently seeking a Software Engineer to join our JLL Technologies Leasing Engineering team.
About JLL Technologies –
JLL Technologies is a specialized group within JLL. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. We provide best-in-class technologies to bring digital ambitions to life aligning technology, people, and processes. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.
We are seeking candidates that are self-starters who can work in a diverse and fast-paced environment that can join our team to manage and deliver software.
What this job involves
As a Full Stack Engineer at JLL Technologies, your responsibilities are to:
• Develops technical understanding of existing architecture to design and expand its capability with new business requirement
• Independently develops, executes, and monitors complex web and business components, web services, and reports for assigned projects.
• Maintaining and improving existing codebase and perform peers code review & mentor team members
• Exploring and evaluating new technologies where relevant (running PoC’s), including AI/ML frameworks and tools
• Perform comprehensive testing including unit testing, performance testing, system integration testing and assist with user acceptance testing
• Providing on-going support (Troubleshoot, identify, and rectify production issue) to application used within the organization
• Create written technical documentation and maintain system knowledge base
• Implement AI-driven solutions to enhance application capabilities and user experience
Technical Skills & Competencies
Mandatory:
• Frontend Development: Experienced with React.js (with Redux) frontend technologies
• Backend Development: Strong knowledge of Node.js, C#, .NET Core, Web API development.
• Search Technologies: Experience in Elastic Search or Azure Cognitive Search
• JavaScript Expertise: Strong proficiency in JavaScript (ES6), including DOM manipulation and the JavaScript object model
• UI/UX: Proficiency in Material UI, HTML5 & CSS web design languages
• Database Management: Strong proficiency in MS-SQL, stored procedures, Agent Jobs and performance tuning
• Cloud & DevOps: Familiarity with Azure Cloud offerings, DevOps practices, and GitHub platform
• PaaS Development: Experience in Azure Functions, Azure Logic Apps, APIM, Data Factory
• AI/ML Integration: Experience with AI APIs (OpenAI, Azure Cognitive Services, etc.) and ML model integration
• Testing: Write unit tests and integration tests using code coverage tools such as SonarQube, playwright
• Experience with GitHub Copilot, Cursor AI coding assistants with MCP’s (multi-context programming)
Preferable:
• Familiarity with Python, TensorFlow, PyTorch, or similar ML frameworks
• Understanding of LLM prompt optimization and fine-tuning techniques
• AI Platforms: Experience with Azure AI Services
Sound like the job you’re looking for? Before you apply it’s also worth knowing what we’re looking for:
Education and experience
• A bachelor’s degree in computer science, information systems, software engineering, or a related field.
• 4-9 years of experience in application development, integration, implementation, and maintenance
• Reliable, self-motivated, and self-disciplined individual.
• Effective written and verbal communication skills.
• Excellent technical, analytical and organizational skills.
What you can expect from us
We succeed together—across the desk and around the globe and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.
Apply today!
Responsibilities
Software Engineer
JLL Technologies Centre of Expertise
About the Role
#JLLTechAmbitions
We are currently seeking a Software Engineer to join our JLL Technologies Leasing Engineering team.
About JLL Technologies –
JLL Technologies is a specialized group within JLL. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. We provide best-in-class technologies to bring digital ambitions to life aligning technology, people, and processes. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.
We are seeking candidates that are self-starters who can work in a diverse and fast-paced environment that can join our team to manage and deliver software.
What this job involves
As a Full Stack Engineer at JLL Technologies, your responsibilities are to:
• Develops technical understanding of existing architecture to design and expand its capability with new business requirement
• Independently develops, executes, and monitors complex web and business components, web services, and reports for assigned projects.
• Maintaining and improving existing codebase and perform peers code review & mentor team members
• Exploring and evaluating new technologies where relevant (running PoC’s), including AI/ML frameworks and tools
• Perform comprehensive testing including unit testing, performance testing, system integration testing and assist with user acceptance testing
• Providing on-going support (Troubleshoot, identify, and rectify production issue) to application used within the organization
• Create written technical documentation and maintain system knowledge base
• Implement AI-driven solutions to enhance application capabilities and user experience
Technical Skills & Competencies
Mandatory:
• Frontend Development: Experienced with React.js (with Redux) frontend technologies
• Backend Development: Strong knowledge of Node.js, C#, .NET Core, Web API development.
• Search Technologies: Experience in Elastic Search or Azure Cognitive Search
• JavaScript Expertise: Strong proficiency in JavaScript (ES6), including DOM manipulation and the JavaScript object model
• UI/UX: Proficiency in Material UI, HTML5 & CSS web design languages
• Database Management: Strong proficiency in MS-SQL, stored procedures, Agent Jobs and performance tuning
• Cloud & DevOps: Familiarity with Azure Cloud offerings, DevOps practices, and GitHub platform
• PaaS Development: Experience in Azure Functions, Azure Logic Apps, APIM, Data Factory
• AI/ML Integration: Experience with AI APIs (OpenAI, Azure Cognitive Services, etc.) and ML model integration
• Testing: Write unit tests and integration tests using code coverage tools such as SonarQube, playwright
• Experience with GitHub Copilot, Cursor AI coding assistants with MCP’s (multi-context programming)
Preferable:
• Familiarity with Python, TensorFlow, PyTorch, or similar ML frameworks
• Understanding of LLM prompt optimization and fine-tuning techniques
• AI Platforms: Experience with Azure AI Services
Sound like the job you’re looking for? Before you apply it’s also worth knowing what we’re looking for:
Education and experience
• A bachelor’s degree in computer science, information systems, software engineering, or a related field.
• 4-9 years of experience in application development, integration, implementation, and maintenance
• Reliable, self-motivated, and self-disciplined individual.
• Effective written and verbal communication skills.
• Excellent technical, analytical and organizational skills.
What you can expect from us
We succeed together—across the desk and around the globe and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.
Apply today!
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Test execution | test script creation | dEssential Skills: Well versed with database testing including sql query writing and testing. good communication skills for customer
Desirable Skills:
Keyword:
Skills: PL/SQL~Test Automation~Testing Concepts| Process and Methodologyefect management
Responsibilities
Test execution | test script creation | defect management
Essential Skills: Well versed with database testing including sql query writing and testing. good communication skills for customer
Desirable Skills:
Keyword:
Skills: PL/SQL~Test Automation~Testing Concepts| Process and Methodology
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : Test execution | test script creation | defect management
Maintain SOPs, process documentation, and user guides for PTP processes.
Ensure adherence to internal controls, audit requirements, and standard procedures.
Identify opportunities to improve PTP efficiency and process compliance.
Required Skills & Experience
Core Functional Skills
3–4 years of hands‑on experience in Oracle EBS PTP processes.
Strong working knowledge of:
Purchase Orders
Accounts Payable (AP) Processing
Invoice Matching (2‑way / 3‑way)
Experience supporting PTP operations in ERP environments.
ERP Knowledge
Oracle E‑Business Suite (EBS) functional expertise in Purchasing and AP modules.
Understanding of the end‑to‑end Procure‑to‑Pay lifecycle.
Soft Skills
Strong analytical and problem‑solving skills.
Good communication skills to interact with business and finance teams.
Ability to manage multiple issues in a support environment.
Responsibilities
Maintain SOPs, process documentation, and user guides for PTP processes.
Ensure adherence to internal controls, audit requirements, and standard procedures.
Identify opportunities to improve PTP efficiency and process compliance.
Required Skills & Experience
Core Functional Skills
3–4 years of hands‑on experience in Oracle EBS PTP processes.
Strong working knowledge of:
Purchase Orders
Accounts Payable (AP) Processing
Invoice Matching (2‑way / 3‑way)
Experience supporting PTP operations in ERP environments.
ERP Knowledge
Oracle E‑Business Suite (EBS) functional expertise in Purchasing and AP modules.
Understanding of the end‑to‑end Procure‑to‑Pay lifecycle.
Soft Skills
Strong analytical and problem‑solving skills.
Good communication skills to interact with business and finance teams.
Ability to manage multiple issues in a support environment.
Salary : Rs. 0.0 - Rs. 10,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary:
You build and own assigned solution streams across 1–2 concurrent projects. You implement agentic AI solutions on AWS AgentCore and LangGraph, contribute to POC delivery, and take full ownership of your components in production — including Pro Code builds and Low Code automations where the use case fits.
Key Responsibilities:
• Agentic AI Development
o Implement LangGraph agentic workflows on AWS AgentCore — state graphs, tool orchestration, conditional routing, error recovery.
o Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
o Contribute to rapid POC delivery alongside the Architect and Lead.
o Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
Responsibilities
• Low Code & Automation
o Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
o Understand Pro Code vs Low Code trade-offs — flag where Low Code is the better fit.
o Stay current on Low Code platform capabilities as they expand rapidly.
• Production Ownership & Collaboration
o Own assigned components in production — monitor, debug, optimise, iterate.
o Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
o Collaborate with the Lead on architecture translation and implementation planning.
o Mentor Associate Developers through code reviews and pair programming.
Required Skills & Experience:
Must Have:
o LangGraph — State graphs, conditional routing, checkpointing — primary framework, non-negotiable.
o LangChain — Chains, memory, custom tools — solid foundational knowledge.
o AWS AgentCore — Hands-on preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model invocation, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query and insight patterns. Snowflake a plus.
o RAG Pipelines — End-to-end: chunking, embeddings, retrieval, evaluation.
o Vector Databases — Pinecone, ChromaDB, OpenSearch, or FAISS — hands-on with at least one.
o Python — Production-quality — type hints, async/await, FastAPI, Pydantic.
o Multi-Model — OpenAI, Claude, Gemini, Llama — understand trade-offs across providers.
o Pro Code vs Low Code — Copilot Studio and Power Automate — build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Experience — 3–5 years total; 1–2 years GenAI/LLM; 6–12 months LangGraph; 2–3 projects with working code.
Good to Have:
o AWS AgentCore Deep — Runtime, Memory, Tools Gateway hands-on.
o MCP / A2A — Server/client implementation or protocol awareness.
o Enterprise Integration — SAP HANA, Salesforce connectors.
o Document Intelligence — OCR, layout-aware chunking.
o Evaluation Frameworks — RAGAS, Promptfoo, DeepEval.
o Certifications — AWS, GCP, or Azure AI/ML.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
