STO AI (AI SoWe are looking for a Senior AI Engineer with strong software engineering fundamentals and a clear AI first, automation driven mindset. The ideal candidate will have deep hands on experience building production grade Generative AI and Agentic AI systems, and will naturally default to AI driven automation rather than manual, rule based, or UI heavy solutions.
This role focuses on designing, building, and operating scalable AI systems on AWS, applying sound engineering practices across the full SDLC.
________________________________________
Key Responsibilities
AI First System Design & Software Engineering
• Apply strong software engineering principles to design, build, test, deploy, and operate AI powered systems.
• Architect clean, scalable, and maintainable services using microservices and distributed system design patterns.
• Own solutions end to end, ensuring reliability, observability, security, and maintainability in production.
• Make informed engineering trade offs around scalability, latency, cost, and fault tolerance.
________________________________________
Generative AI & Retrieval Augmented Generation (RAG)
• Design and implement LLM based solutions for real world, production use cases.
• Apply deep hands on expertise in:
o Prompt engineering
o Chunking strategies for unstructured data
o Embeddings and vector databases
o Retrieval Augmented Generation (RAG)
o Graph RAG (knowledge graphs combined with vector search).
• Ensure AI systems are robust, explainable, and production ready.
________________________________________
Agentic AI & Workflow Automation
• Build Agentic AI systems capable of planning, reasoning, and executing multi step workflows.
• Implement tool and function calling, context management, and memory strategies for agents.
• Design systems where agents orchestrate workflows and LLMs act as reasoning and decision layers.
• Identify opportunities to replace manual or rule based processes with AI driven automation.
________________________________________
Cloud Native AI Platforms & AWS
• Build and deploy AI services on AWS using cloud native patterns.
• Work hands on with AWS services such as:
o EC2, Lambda, ECS, EKS
o DynamoDB, RDS (PostgreSQL/MySQL), MongoDB
o IAM, VPC, S3, EBS, CloudFront, Route 53.
• Leverage AWS Bedrock (Agents, Knowledge Bases) and Amazon SageMaker to operationalize AI solutions.
________________________________________
Containers, DevOps & CI/CD
• Containerize AI services using Docker and deploy using Kubernetes (EKS).
• Integrate services into CI/CD pipelines using GitHub or GitLab.
• Manage infrastructure using Infrastructure as Code (Terraform).
• Ensure stable, repeatable deployments in Linux environments.
________________________________________
Application Integration (Good to Have)
• Contribute to backend or application integration when required:
o Backend: Python (Flask) or Node.js (Express)
o Frontend: React or Angular.
• Integrate AI services with existing applications using APIs or events.
• UI and full stack work is supportive, not a primary responsibility.
________________________________________
Required Skills & Qualifications
• 5+ years of experience in Software Engineering or AI Engineering.
• Strong software engineering skills with proven experience building production systems.
• Strong programming experience in Python.
• Hands on experience with:
o Generative AI and Large Language Models
o RAG pipelines, embeddings, and vector databases
o Agentic AI workflows and systems.
• Solid understanding of:
o System design
o Microservices and distributed systems.
• Experience deploying and operating systems on AWS.
• Comfortable working in Agile environments and Linux systems.
________________________________________
Good to Have
• Full stack development experience (React/Angular, Flask/Node.js)
• Knowledge graph experience
• MLOps exposure
• Experience working within enterprise AI governance frameworks
ftware Engineer)
Responsibilities
We are looking for a Senior AI Engineer with strong software engineering fundamentals and a clear AI first, automation driven mindset. The ideal candidate will have deep hands on experience building production grade Generative AI and Agentic AI systems, and will naturally default to AI driven automation rather than manual, rule based, or UI heavy solutions.
This role focuses on designing, building, and operating scalable AI systems on AWS, applying sound engineering practices across the full SDLC.
________________________________________
Key Responsibilities
AI First System Design & Software Engineering
• Apply strong software engineering principles to design, build, test, deploy, and operate AI powered systems.
• Architect clean, scalable, and maintainable services using microservices and distributed system design patterns.
• Own solutions end to end, ensuring reliability, observability, security, and maintainability in production.
• Make informed engineering trade offs around scalability, latency, cost, and fault tolerance.
________________________________________
Generative AI & Retrieval Augmented Generation (RAG)
• Design and implement LLM based solutions for real world, production use cases.
• Apply deep hands on expertise in:
o Prompt engineering
o Chunking strategies for unstructured data
o Embeddings and vector databases
o Retrieval Augmented Generation (RAG)
o Graph RAG (knowledge graphs combined with vector search).
• Ensure AI systems are robust, explainable, and production ready.
________________________________________
Agentic AI & Workflow Automation
• Build Agentic AI systems capable of planning, reasoning, and executing multi step workflows.
• Implement tool and function calling, context management, and memory strategies for agents.
• Design systems where agents orchestrate workflows and LLMs act as reasoning and decision layers.
• Identify opportunities to replace manual or rule based processes with AI driven automation.
________________________________________
Cloud Native AI Platforms & AWS
• Build and deploy AI services on AWS using cloud native patterns.
• Work hands on with AWS services such as:
o EC2, Lambda, ECS, EKS
o DynamoDB, RDS (PostgreSQL/MySQL), MongoDB
o IAM, VPC, S3, EBS, CloudFront, Route 53.
• Leverage AWS Bedrock (Agents, Knowledge Bases) and Amazon SageMaker to operationalize AI solutions.
________________________________________
Containers, DevOps & CI/CD
• Containerize AI services using Docker and deploy using Kubernetes (EKS).
• Integrate services into CI/CD pipelines using GitHub or GitLab.
• Manage infrastructure using Infrastructure as Code (Terraform).
• Ensure stable, repeatable deployments in Linux environments.
________________________________________
Application Integration (Good to Have)
• Contribute to backend or application integration when required:
o Backend: Python (Flask) or Node.js (Express)
o Frontend: React or Angular.
• Integrate AI services with existing applications using APIs or events.
• UI and full stack work is supportive, not a primary responsibility.
________________________________________
Required Skills & Qualifications
• 5+ years of experience in Software Engineering or AI Engineering.
• Strong software engineering skills with proven experience building production systems.
• Strong programming experience in Python.
• Hands on experience with:
o Generative AI and Large Language Models
o RAG pipelines, embeddings, and vector databases
o Agentic AI workflows and systems.
• Solid understanding of:
o System design
o Microservices and distributed systems.
• Experience deploying and operating systems on AWS.
• Comfortable working in Agile environments and Linux systems.
________________________________________
Good to Have
• Full stack development experience (React/Angular, Flask/Node.js)
• Knowledge graph experience
• MLOps exposure
• Experience working within enterprise AI governance frameworks
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking an experienced SAP HCM Consultant with strong expertise in German Payroll and Time Management to support and deliver enterprise-level SAP HCM solutions.
Key Responsibilities
Configure, support, and enhance SAP HCM modules including PA, OM, Payroll, Time Management, ESS/MSS, and CATS / Planning Board
Handle German Payroll and Time Management processes, including statutory requirements
Perform HRSP upgrade impact assessments, SAP Note analysis, and related remediation activities
Support payroll runs, time evaluation, and month-end/year-end activities
Collaborate with cross-functional and technical teams to resolve issues
Provide functional leadership and guidance to team members
Prepare and maintain functional documentation and support artifacts
Responsibilities
We are seeking an experienced SAP HCM Consultant with strong expertise in German Payroll and Time Management to support and deliver enterprise-level SAP HCM solutions.
Key Responsibilities
Configure, support, and enhance SAP HCM modules including PA, OM, Payroll, Time Management, ESS/MSS, and CATS / Planning Board
Handle German Payroll and Time Management processes, including statutory requirements
Perform HRSP upgrade impact assessments, SAP Note analysis, and related remediation activities
Support payroll runs, time evaluation, and month-end/year-end activities
Collaborate with cross-functional and technical teams to resolve issues
Provide functional leadership and guidance to team members
Prepare and maintain functional documentation and support artifacts
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
7+ Experience in Core-java and J2EE•Using MVC Frameworks, Spring, Hibernate•Strong understanding in Relational database concepts, SQL•Good knowledge of GCP/Cloud•Experience with Maven, GIT, html, jsp, css, javascript•Experience working in a Linux environment and open source libraries•Understanding of financial industry concepts is a plus•Agile/lean software development techniques and supporting tools like JIRA•Strong written and verbal communication skills
Responsibilities
7+ Experience in Core-java and J2EE•Using MVC Frameworks, Spring, Hibernate•Strong understanding in Relational database concepts, SQL•Good knowledge of GCP/Cloud•Experience with Maven, GIT, html, jsp, css, javascript•Experience working in a Linux environment and open source libraries•Understanding of financial industry concepts is a plus•Agile/lean software development techniques and supporting tools like JIRA•Strong written and verbal communication skills
Salary : Rs. 25,00,000.0 - Rs. 30,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The LIMS Project Manager leads the end to end delivery of a Laboratory Information Management System (LIMS) Project, overseeing multiple cross functional projects across scientific, technical, and operational domains. This role ensures strategic alignment, integrated planning, risk management, stakeholder communication, and successful rollout of LIMS capabilities across the organization.
Key Responsibilities
1. Project Governance & Leadership • Define and maintain the LIMS Project structure, including projects, workstreams, and associated success metrics. • Lead Project level governance, including decision forums, steering committees, and quarterly/weekly reporting cadences. • Oversee cross project integration, dependencies, and sequencing to ensure cohesive delivery across labs and functions.
2. Strategic Road mapping & Planning • Develop and maintain a comprehensive integrated Project roadmap, outlining phases, milestones, releases, and change management activities. • Coordinate resource planning and resolve prioritisation or capacity conflicts with domain leaders (Data, Lab IT, QA/eCompliance, etc.).
3. Stakeholder Management & Communication • Lead senior stakeholder alignment across scientific teams, Lab IT, QA, Data Management, vendor partners, and Project sponsors. • Drive project level communications, visibility of status, decisions, risks, and major releases. • Collaborate closely with business owners, product teams, and project managers.
4. Risk, Issue & Change Management • Own Project level risks and issues; ensure timely mitigation, escalation, and cross project coordination. • Drive change control processes, ensuring LIMS scope, requirements, and solution choices align with enterprise standards. • Ensure Project compliance with regulatory and QA/eCompliance guidelines relevant to LIMS (e.g., IQ/OQ/UAT).
5. Project Execution Oversight • Oversee delivery progress across all LIMS projects (workflow design, integration, instrument connectivity, data modelling, deployment readiness). • Ensure harmonization and alignment across laboratory workflows, data models, and metadata standards (as highlighted in OneLIMS implementation discussions). • Monitor Project KPIs, forecast critical milestones, and implement corrective actions when needed.
6. Transition, Deployment & Closure • Lead planning of releases, deployment waves, site onboarding, and transition-to-operations. • Ensure proper documentation, handover, training, and post deployment support frameworks. • Drive Project closure activities and lessons learned documentation.
Required Skills & Experience Core Competencies • Strong Project and project management experience (multi workstream scientific/technical Projects). • Deep understanding of LIMS platforms, laboratory workflows, sample lifecycle management, and related systems (ELN, instrumentation, SDMS, data warehouses). • Experience coordinating with Data Governance, Data Platform, Lab IT, QA/eCompliance teams. • Excellent communication, stakeholder management, and leadership skills. Technical Knowledge • LIMS systems (e.g., Sapio, LabWare, STARLIMS, LabVantage). • Understanding of metadata standards, raw data lifecycle, integrations, vendor neutral formats, and scientific data models. • Knowledge of validation frameworks (IQ/OQ/PQ/UAT) as part of LIMS deployment. ________________________________________ Preferred Qualifications • 10+ years in scientific informatics, LIMS, digital lab systems, or similar domains. • Certification in Project/project management (PMP, PgMP, Agile, SAFe). • Experience working across global R&D or regulated laboratory environments.
Responsibilities
The LIMS Project Manager leads the end to end delivery of a Laboratory Information Management System (LIMS) Project, overseeing multiple cross functional projects across scientific, technical, and operational domains. This role ensures strategic alignment, integrated planning, risk management, stakeholder communication, and successful rollout of LIMS capabilities across the organization.
Key Responsibilities
1. Project Governance & Leadership • Define and maintain the LIMS Project structure, including projects, workstreams, and associated success metrics. • Lead Project level governance, including decision forums, steering committees, and quarterly/weekly reporting cadences. • Oversee cross project integration, dependencies, and sequencing to ensure cohesive delivery across labs and functions.
2. Strategic Road mapping & Planning • Develop and maintain a comprehensive integrated Project roadmap, outlining phases, milestones, releases, and change management activities. • Coordinate resource planning and resolve prioritisation or capacity conflicts with domain leaders (Data, Lab IT, QA/eCompliance, etc.).
3. Stakeholder Management & Communication • Lead senior stakeholder alignment across scientific teams, Lab IT, QA, Data Management, vendor partners, and Project sponsors. • Drive project level communications, visibility of status, decisions, risks, and major releases. • Collaborate closely with business owners, product teams, and project managers.
4. Risk, Issue & Change Management • Own Project level risks and issues; ensure timely mitigation, escalation, and cross project coordination. • Drive change control processes, ensuring LIMS scope, requirements, and solution choices align with enterprise standards. • Ensure Project compliance with regulatory and QA/eCompliance guidelines relevant to LIMS (e.g., IQ/OQ/UAT).
5. Project Execution Oversight • Oversee delivery progress across all LIMS projects (workflow design, integration, instrument connectivity, data modelling, deployment readiness). • Ensure harmonization and alignment across laboratory workflows, data models, and metadata standards (as highlighted in OneLIMS implementation discussions). • Monitor Project KPIs, forecast critical milestones, and implement corrective actions when needed.
6. Transition, Deployment & Closure • Lead planning of releases, deployment waves, site onboarding, and transition-to-operations. • Ensure proper documentation, handover, training, and post deployment support frameworks. • Drive Project closure activities and lessons learned documentation.
Required Skills & Experience Core Competencies • Strong Project and project management experience (multi workstream scientific/technical Projects). • Deep understanding of LIMS platforms, laboratory workflows, sample lifecycle management, and related systems (ELN, instrumentation, SDMS, data warehouses). • Experience coordinating with Data Governance, Data Platform, Lab IT, QA/eCompliance teams. • Excellent communication, stakeholder management, and leadership skills. Technical Knowledge • LIMS systems (e.g., Sapio, LabWare, STARLIMS, LabVantage). • Understanding of metadata standards, raw data lifecycle, integrations, vendor neutral formats, and scientific data models. • Knowledge of validation frameworks (IQ/OQ/PQ/UAT) as part of LIMS deployment. ________________________________________ Preferred Qualifications • 10+ years in scientific informatics, LIMS, digital lab systems, or similar domains. • Certification in Project/project management (PMP, PgMP, Agile, SAFe). • Experience working across global R&D or regulated laboratory environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Java Developer 3-6 years 15 lacs
Description
Job Responsibilities • Develop innovative solutions by designing and analyzing data driven applications from Vehicles/IoT devices to solve problems. • Understand and Align Solutions towards Business needs. • Lead Java/J2EE development with OOPs design principles and Java Design Patterns. • Define architecture for connected vehicle backend and applications. • Design and Development of IoT environment in the Cloud (Azure) with deep understanding of design for scalability and performance. • Design and Development of microservices (Spring Boot) driven architecture • Design and Development of MVC based framework components. • Team Mentoring and Competency development Experience and Skills • 4+ years of cloud experience, Azure preferred • 4+ years of Architecting and Programming skills in Java/J2EE with good understanding of OOPs design principles and Java Design Patterns. Excellent understanding of Core Java. • Knowledge on React / Angular development • Good knowledge on database (especially on postgresql • Rich experience in developing cloud-based solutions using Azure with deep understanding of design for scalability and performance. • Designing IoT systems and developing scalable Messaging and Streaming environments and extending the solution to create real time IoT data analytics driven applications. • Experience in developing Microservices (preferably Spring Boot) with good exposure to web application frameworks. • Exposure to IoT and Big Data platforms. • Experience of DevOps concepts, tools and technology landscape. • Experience with various tools of the trade including build tools (Maven, Gradle), version control (subversion, Git), automation servers (Jenkins, VSTS, Bamboo) • Unit Testing with Junit • Scripting languages like Python, JavaScript would be beneficial • Experience in integrating API’s with frontend applications based on React, Angular, Node js
Responsibilities
Java Developer 3-6 years 15 lacs
Description
Job Responsibilities • Develop innovative solutions by designing and analyzing data driven applications from Vehicles/IoT devices to solve problems. • Understand and Align Solutions towards Business needs. • Lead Java/J2EE development with OOPs design principles and Java Design Patterns. • Define architecture for connected vehicle backend and applications. • Design and Development of IoT environment in the Cloud (Azure) with deep understanding of design for scalability and performance. • Design and Development of microservices (Spring Boot) driven architecture • Design and Development of MVC based framework components. • Team Mentoring and Competency development Experience and Skills • 4+ years of cloud experience, Azure preferred • 4+ years of Architecting and Programming skills in Java/J2EE with good understanding of OOPs design principles and Java Design Patterns. Excellent understanding of Core Java. • Knowledge on React / Angular development • Good knowledge on database (especially on postgresql • Rich experience in developing cloud-based solutions using Azure with deep understanding of design for scalability and performance. • Designing IoT systems and developing scalable Messaging and Streaming environments and extending the solution to create real time IoT data analytics driven applications. • Experience in developing Microservices (preferably Spring Boot) with good exposure to web application frameworks. • Exposure to IoT and Big Data platforms. • Experience of DevOps concepts, tools and technology landscape. • Experience with various tools of the trade including build tools (Maven, Gradle), version control (subversion, Git), automation servers (Jenkins, VSTS, Bamboo) • Unit Testing with Junit • Scripting languages like Python, JavaScript would be beneficial • Experience in integrating API’s with frontend applications based on React, Angular, Node js
Salary : Rs. 0.0 - Rs. 15,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Deploy and manage containerized applications using AKS.
Implement security, networking, and monitoring for AKS clusters.
Optimize resource usage and cost in Azure environments.
Troubleshoot and resolve issues in cloud-native applications.
Collaborate with DevOps teams to integrate AKS into CI/CD workflows.
Skills & Tools:
Azure services (AKS, Azure Monitor, Azure Networking, Azure Security Center)
Kubernetes (Helm, kubectl, Kustomize)
Containerization (Docker)
Cloud architecture and networking
Monitoring and logging (Prometheus, Grafana, Azure Monitor)
Security best practices in cloud environments
Deploy and manage containerized applications using AKS.
Implement security, networking, and monitoring for AKS clusters.
Optimize resource usage and cost in Azure environments.
Troubleshoot and resolve issues in cloud-native applications.
Collaborate with DevOps teams to integrate AKS into CI/CD workflows.
Skills & Tools:
Azure services (AKS, Azure Monitor, Azure Networking, Azure Security Center)
Kubernetes (Helm, kubectl, Kustomize)
Containerization (Docker)
Cloud architecture and networking
Monitoring and logging (Prometheus, Grafana, Azure Monitor)
Security best practices in cloud environments
Responsibilities
Deploy and manage containerized applications using AKS.
Implement security, networking, and monitoring for AKS clusters.
Optimize resource usage and cost in Azure environments.
Troubleshoot and resolve issues in cloud-native applications.
Collaborate with DevOps teams to integrate AKS into CI/CD workflows.
Skills & Tools:
Azure services (AKS, Azure Monitor, Azure Networking, Azure Security Center)
Kubernetes (Helm, kubectl, Kustomize)
Containerization (Docker)
Cloud architecture and networking
Monitoring and logging (Prometheus, Grafana, Azure Monitor)
Security best practices in cloud environments
Deploy and manage containerized applications using AKS.
Implement security, networking, and monitoring for AKS clusters.
Optimize resource usage and cost in Azure environments.
Troubleshoot and resolve issues in cloud-native applications.
Collaborate with DevOps teams to integrate AKS into CI/CD workflows.
Skills & Tools:
Azure services (AKS, Azure Monitor, Azure Networking, Azure Security Center)
Kubernetes (Helm, kubectl, Kustomize)
Containerization (Docker)
Cloud architecture and networking
Monitoring and logging (Prometheus, Grafana, Azure Monitor)
Security best practices in cloud environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
