Job Description:
Key Skills required:
JavaScript, React.js (Front-End), and Python (Back-End)
Full Stack App Dev, Front-End + Back-End Development both, API and Service Dev
Azure Cloud Native App Development
Azure Functions, Serverless, Azure App Service
Role purpose
Build and enhance digital products and platforms using the Azure Cloud Native App Dev Stack and Azure PaaS Solutions
Build and extend full-stack web app solutions across front-end and back-end, using React.js + JavaScript on front-end and Python + Serverless on the back-end
Refactor, optimize and improve the existing codebase for maintenance and scale
Interface with clients and internal teams to gather requirements and develop software solutions
Convey effectively all task progress, evaluations, suggestions, schedules along with technical and process issues
Document the development process, architecture, and standard components
Coordinate with co-developers and keeps project manager and technical architect well informed of the status of development effort and serves as liaison between development staff
Professional // Must-Have Skills
Expert Developer in Full-Stack Web App Development
Front-End Web App Development using React.js, Styled Components, Context API, and the React/Redux ecosystem
Good hands-on experience with building scalable web applications.
Working experience of Tailwind, Material UI frameworks.
Knowledge of testing frameworks like Mocha and Jest.
Should be expert in working HTML, CSS and other front-end technologies.
Should be able to build and deploy NPM based web apps.
Should be able to work with and leverage existing component libraries.
Expert in Back-End Service Development using Python code deployed inside Serverless Functions
Good hands-on experience building Serverless Functions in the cloud
Good hands-on experience building Python back-end APIs and services
Good hands-on experience using various Python libraries
Expert in Azure Cloud Native App Development using Azure PaaS Services
Building and Deploying Web Apps to Azure App Service
Building and Deployment Serverless functions to Azure Functions
Using Logic Apps to build-end automation workflows
Some experience with Azure IAM, and Security concepts
Working experience with REST APIs and Custom component renders using data.
Experience writing and utilizing RESTful API services and performance tuning large-scale apps
Should have hands-on experience working with Enterprise GITHub and Git flow
Deep knowledge of object-oriented and functional programming.
Good communication, and can interact with client teams
Nice-to-Have capabilities :
Hands-on with Web Frameworks like NEXT.js and using them to build highly performant webapps
Hands-on with Node.js and related server-side JavaScript frameworks for server-side app development – including Express.js, and NEST.js
Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js
Knowledge of working with GraphQL and integrating GraphQL with Express.js or NEST.js
Knowledge of working with API Management and API Gateways
Hands-on experience with deploying full stack MERN apps to a cloud platform such as Azure and AWS
Experience working with container apps and containerized environments
Experience working on enterprise integration projects is a plus
Experience working with Gen-AI and LLM Technology is a plus
Brand:
Responsibilities
Job Description:
Key Skills required:
JavaScript, React.js (Front-End), and Python (Back-End)
Full Stack App Dev, Front-End + Back-End Development both, API and Service Dev
Azure Cloud Native App Development
Azure Functions, Serverless, Azure App Service
Role purpose
Build and enhance digital products and platforms using the Azure Cloud Native App Dev Stack and Azure PaaS Solutions
Build and extend full-stack web app solutions across front-end and back-end, using React.js + JavaScript on front-end and Python + Serverless on the back-end
Refactor, optimize and improve the existing codebase for maintenance and scale
Interface with clients and internal teams to gather requirements and develop software solutions
Convey effectively all task progress, evaluations, suggestions, schedules along with technical and process issues
Document the development process, architecture, and standard components
Coordinate with co-developers and keeps project manager and technical architect well informed of the status of development effort and serves as liaison between development staff
Professional // Must-Have Skills
Expert Developer in Full-Stack Web App Development
Front-End Web App Development using React.js, Styled Components, Context API, and the React/Redux ecosystem
Good hands-on experience with building scalable web applications.
Working experience of Tailwind, Material UI frameworks.
Knowledge of testing frameworks like Mocha and Jest.
Should be expert in working HTML, CSS and other front-end technologies.
Should be able to build and deploy NPM based web apps.
Should be able to work with and leverage existing component libraries.
Expert in Back-End Service Development using Python code deployed inside Serverless Functions
Good hands-on experience building Serverless Functions in the cloud
Good hands-on experience building Python back-end APIs and services
Good hands-on experience using various Python libraries
Expert in Azure Cloud Native App Development using Azure PaaS Services
Building and Deploying Web Apps to Azure App Service
Building and Deployment Serverless functions to Azure Functions
Using Logic Apps to build-end automation workflows
Some experience with Azure IAM, and Security concepts
Working experience with REST APIs and Custom component renders using data.
Experience writing and utilizing RESTful API services and performance tuning large-scale apps
Should have hands-on experience working with Enterprise GITHub and Git flow
Deep knowledge of object-oriented and functional programming.
Good communication, and can interact with client teams
Nice-to-Have capabilities :
Hands-on with Web Frameworks like NEXT.js and using them to build highly performant webapps
Hands-on with Node.js and related server-side JavaScript frameworks for server-side app development – including Express.js, and NEST.js
Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js
Knowledge of working with GraphQL and integrating GraphQL with Express.js or NEST.js
Knowledge of working with API Management and API Gateways
Hands-on experience with deploying full stack MERN apps to a cloud platform such as Azure and AWS
Experience working with container apps and containerized environments
Experience working on enterprise integration projects is a plus
Experience working with Gen-AI and LLM Technology is a plus
Brand:
Salary : Rs. 1,00,000.0 - Rs. 1,80,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Skills required :
Generative AI, Multi Modal AI
Creative AI solutions and workflows across all creative content types including Copy/Text, Imagery, Key Visuals, Characters, Avatars, Audio, Speech and Video AI
Creative AI Automation workflows with content creation and content editing at scale, using AI services and AI APIs
Experience with multiple Multi Modal AI Foundation Models
LLM, LLM App Dev
AI Agents, Agentic AI Workflows
Responsibilities:
Design and build web apps and solutions that leverage Creative AI Services, Multi Modal AI models, and Generative AI workflows
Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video
Build creative automation workflows that help produce creative concepts, creative production deliverables, and integrated creative outputs, leveraging AI and Gen-AI models
Integrate AI Image Gen Models and AI Image Editing models from key technology partners
Integrate Text / Copy Gen Models for key LLM providers
Integrate Speech / Audio Gen and Editing models for use cases such as transcription, translation, and AI generated audio narration
Integrate AI enabled Video Gen and Video Editing models
Fine-Tune Multi Modal AI models for brand specific usage and branded content generation
Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation.
Drive product development and delivery within tight timelines
Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products.
Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions.
Develop, implement and optimize scalable AI-enabled products
Integrate Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps
Execute implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services
Build enterprise products and full-stack applications on the MERN + Python stack, with a clear separation of concerns across layers
Skills and Competencies:
Deep Hands-on Experience in Multi modal AI models and tools.
Hands-on Experience in API integration with AI services
Multi Modal AI – competencies :
Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models
Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc.
Hands-on Experience with popular AI Image Composition and Editing models from providers such as Adobe Firefly, Getty Images, ShutterStock, Flux and Flux Pro, and Stable Diffusion, and the ability to integrate them programmatically over API calls and workflows
Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, automated masking, and image segmentation – again all done programmatically over API calls and Workflows
Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Speech to Text, and use of Pre-built vs. Custom Voices
Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions
Hands-on Experience with AI Character and AI Avatar development, using a variety of different tools and platforms
Fine-Tuning Creative AI Content models for Custom Styles, Custom Characters, and Custom Brand specific imagery
Fine-Tuning Speech Models for Custom Voices
Good understanding of advanced fine-tuning techniques such as LoRA
Ability to execute and run fine-tuning workflows, end-to-end, in particular for Image Gen and Image Editing models
Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models
Hands-on Experience with building workflows that orchestrate across Multi Modal AI models
Good Experience with using AI Assistants to drive natural language interactions and orchestration with Multi Modal AI models
Good Experience with use of AI Agents and Agentic AI workflows to drive dynamic orchestration across Multi Modal AI services and models
Programming Skills :
Good Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript
Good Expertise in Python based development, including Python App Dev for Multi Modal AI Integration
Well-rounded in both programming languages
Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript
Hands-on Experience in front-end and back-end development
Minimum 2+ years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript
Minimum 2 years hands-on experience in Python development
Minimum 2 years hands-on experience in working with LLMs and LLM models, using Python
LLM Dev Skills :
Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output
Good Experience with building AI and LLM enabled Workflows
Hands-on Experience integrating LLMs with external tools such as Web Search
Ability to leverage advanced concepts such as tool calling and function calling, with LLM models
Hands-on Experience with Conversational AI solutions and chat-driven experiences
Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc.
Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock, and/or GCP Vertex AI.
Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs
Hands-on Experience working with AI Agents and Agent Services.
Nice-to-Have capabilities (Not essential) :
Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output
Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks
Hands-on experience with different Agent communication and chaining patterns
Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools
Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models.
Good Background with Machine Learning solutions
Good foundational understanding of Transformer Models
Good foundational understanding of Diffusion Models
Some Experience with custom ML model development and deployment is desirable.
Proficiency in deep learning frameworks such as PyTorch, or Keras.
Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.
Responsibilities
Key Skills required :
Generative AI, Multi Modal AI
Creative AI solutions and workflows across all creative content types including Copy/Text, Imagery, Key Visuals, Characters, Avatars, Audio, Speech and Video AI
Creative AI Automation workflows with content creation and content editing at scale, using AI services and AI APIs
Experience with multiple Multi Modal AI Foundation Models
LLM, LLM App Dev
AI Agents, Agentic AI Workflows
Responsibilities:
Design and build web apps and solutions that leverage Creative AI Services, Multi Modal AI models, and Generative AI workflows
Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video
Build creative automation workflows that help produce creative concepts, creative production deliverables, and integrated creative outputs, leveraging AI and Gen-AI models
Integrate AI Image Gen Models and AI Image Editing models from key technology partners
Integrate Text / Copy Gen Models for key LLM providers
Integrate Speech / Audio Gen and Editing models for use cases such as transcription, translation, and AI generated audio narration
Integrate AI enabled Video Gen and Video Editing models
Fine-Tune Multi Modal AI models for brand specific usage and branded content generation
Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation.
Drive product development and delivery within tight timelines
Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products.
Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions.
Develop, implement and optimize scalable AI-enabled products
Integrate Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps
Execute implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services
Build enterprise products and full-stack applications on the MERN + Python stack, with a clear separation of concerns across layers
Skills and Competencies:
Deep Hands-on Experience in Multi modal AI models and tools.
Hands-on Experience in API integration with AI services
Multi Modal AI – competencies :
Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models
Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc.
Hands-on Experience with popular AI Image Composition and Editing models from providers such as Adobe Firefly, Getty Images, ShutterStock, Flux and Flux Pro, and Stable Diffusion, and the ability to integrate them programmatically over API calls and workflows
Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, automated masking, and image segmentation – again all done programmatically over API calls and Workflows
Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Speech to Text, and use of Pre-built vs. Custom Voices
Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions
Hands-on Experience with AI Character and AI Avatar development, using a variety of different tools and platforms
Fine-Tuning Creative AI Content models for Custom Styles, Custom Characters, and Custom Brand specific imagery
Fine-Tuning Speech Models for Custom Voices
Good understanding of advanced fine-tuning techniques such as LoRA
Ability to execute and run fine-tuning workflows, end-to-end, in particular for Image Gen and Image Editing models
Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models
Hands-on Experience with building workflows that orchestrate across Multi Modal AI models
Good Experience with using AI Assistants to drive natural language interactions and orchestration with Multi Modal AI models
Good Experience with use of AI Agents and Agentic AI workflows to drive dynamic orchestration across Multi Modal AI services and models
Programming Skills :
Good Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript
Good Expertise in Python based development, including Python App Dev for Multi Modal AI Integration
Well-rounded in both programming languages
Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript
Hands-on Experience in front-end and back-end development
Minimum 2+ years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript
Minimum 2 years hands-on experience in Python development
Minimum 2 years hands-on experience in working with LLMs and LLM models, using Python
LLM Dev Skills :
Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output
Good Experience with building AI and LLM enabled Workflows
Hands-on Experience integrating LLMs with external tools such as Web Search
Ability to leverage advanced concepts such as tool calling and function calling, with LLM models
Hands-on Experience with Conversational AI solutions and chat-driven experiences
Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc.
Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock, and/or GCP Vertex AI.
Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs
Hands-on Experience working with AI Agents and Agent Services.
Nice-to-Have capabilities (Not essential) :
Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output
Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks
Hands-on experience with different Agent communication and chaining patterns
Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools
Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models.
Good Background with Machine Learning solutions
Good foundational understanding of Transformer Models
Good foundational understanding of Diffusion Models
Some Experience with custom ML model development and deployment is desirable.
Proficiency in deep learning frameworks such as PyTorch, or Keras.
Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.
Salary : Rs. 1,00,000.0 - Rs. 1,80,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
· 8+ years IT experience with relevant experience working in Automation Project.
· Experience developing tests using automation frameworks such as Selenium/Tellurium/JUnit/TestNG
· Extensive experience in automation of Webservices both SOAP and REST.
· Must have knowledge on Video Domain testing
· Experience with version control systems (e.g., Git) and issue tracking tools (e.g., Jira).
· Strong programming skills in languages such as Java, Python, or JavaScript
· Should be experienced in JIRA tool workflows and Agile methodology of project delivery like Scrum, Kanban, etc.
· Should have prior experience in Test Case Management tools like HP ALM, Octane
· Should be experienced and hands on in creating Test Cases, execution and preparing status reports and sharing with stakeholders
· Should be experienced in backend validations on DB and hands on in writing DB queries on SQL, etc..
· Develop and maintain automated test scripts for SOAP and RESTful web services using industry-standard tools and frameworks.
· Design and implement UI automation tests for web-based applications using Selenium or similar tools.
· Experienced in onshore offshore delivery model is preferred
· Prior experience in working with Splunk and AWS CloudWatch tools
· Should have excellent communication skills for interfacing with client teams
· Mentor junior team members and provide guidance on test automation techniques, tools, and frameworks.
Responsibilities
· 8+ years IT experience with relevant experience working in Automation Project.
· Experience developing tests using automation frameworks such as Selenium/Tellurium/JUnit/TestNG
· Extensive experience in automation of Webservices both SOAP and REST.
· Must have knowledge on Video Domain testing
· Experience with version control systems (e.g., Git) and issue tracking tools (e.g., Jira).
· Strong programming skills in languages such as Java, Python, or JavaScript
· Should be experienced in JIRA tool workflows and Agile methodology of project delivery like Scrum, Kanban, etc.
· Should have prior experience in Test Case Management tools like HP ALM, Octane
· Should be experienced and hands on in creating Test Cases, execution and preparing status reports and sharing with stakeholders
· Should be experienced in backend validations on DB and hands on in writing DB queries on SQL, etc..
· Develop and maintain automated test scripts for SOAP and RESTful web services using industry-standard tools and frameworks.
· Design and implement UI automation tests for web-based applications using Selenium or similar tools.
· Experienced in onshore offshore delivery model is preferred
· Prior experience in working with Splunk and AWS CloudWatch tools
· Should have excellent communication skills for interfacing with client teams
· Mentor junior team members and provide guidance on test automation techniques, tools, and frameworks.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skills: Java-Selenium Advanced
Exp: Min 3.5 yrs of hands-on in Java-Selenium. Min 6+ year of experience overall.
Location: Any DTCC location (Chennai, Pune, Hyderabad, Blore etc.)
Responsibilities
Skills: Java-Selenium Advanced
Exp: Min 3.5 yrs of hands-on in Java-Selenium. Min 6+ year of experience overall.
Location: Any DTCC location (Chennai, Pune, Hyderabad, Blore etc.)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Detailed JD (Roles and Responsibilities)
4+ years of QE experience with 3+ years’ experience in Automation with Selenium -C# & API Automation
Mandatory skills
3+ years of Selenium-C# , API Automation
Responsibilities
Detailed JD (Roles and Responsibilities)
4+ years of QE experience with 3+ years’ experience in Automation with Selenium -C# & API Automation
Mandatory skills
3+ years of Selenium-C# , API Automation
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description: Excellent communication and coordination skills to successfully integrate various functions in a coordinated manner and deliver the responsibilities to the customer?s satisfaction. Linux based Server , C## .NetAWS , Load Balancer, SSL Certificates , Microsoft SQL Server , Postgre SQL, DNS
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
