IN-Sr. Associate GenAI DeveloperAgentic AI & LLM Platforms AppTechAdvisory Kolkata Bangalore Mumbai (EARLY joiners)

Job Description & Summary:A career within Technology Consulting services will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives assessing solution options and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms manage large volumes of client data develop compliance procedures for data management and continually researchnew technologiesto drive innovation and sustainable change.

We are looking for a hands-on GenAI Developer to design build test and deploy Generative AI applications using large language models retrieval-augmented generation semantic search vector databases prompt engineeringFastAPI-based services and agentic frameworks. The role will contribute to enterprise chatbots knowledge assistants document intelligence automation agents code assistants and AI-led business process automation.

Responsibilities:

GenAI Application Development

Develop GenAI applications using LLM APIs prompt templates structured outputs RAG pipelines embeddings vector search and tool calling.

Build conversational AI enterprise search document Q&A summarization classification data extraction and workflow automation use cases.

Integrate GenAI features with backend applications portals APIs databases document stores and enterprise systems.

Implement prompt orchestration context management response formatting source citation handling and feedback capture.

RAG Semantic Search & Knowledge Ingestion

Build document ingestion pipelines including parsing OCR coordination chunking metadata extraction embedding generation indexing andrefresh.

Implement semantic search and hybrid search using vector databases and search platforms.

Support retrieval optimization through metadata filtering chunking strategy re-ranking grounding and citation generation.

Work with enterprise knowledge sources such as SharePoint Confluence Google Drive S3 databases CRM ITSM tools and document repositories.

Agentic AI Development

Developbasic tointermediate agentic workflows usingLangChainLangGraphCrewAILlamaIndex or equivalent frameworks.

Implement agents with tools memory reasoning steps API actions and human-in-the-loop checkpoints.

Build semi-autonomous workflows for business process automation while following safety and approval guardrails.

Backend API & Data Engineering

Develop backend services using PythonFastAPI or similar technologies.

Build REST APIs for LLM orchestration retrieval ingestion evaluation semantic search and agent execution.

Work with SQL and NoSQL databases such as PostgreSQL MySQL SQL Server MongoDB Cosmos DB DynamoDB or equivalent.

Use Redis or equivalent caching for session state conversational memoryfrequentlyaccessed retrieval results rate limiting and workflow state.

Follow secure coding logging exception handling request validationOpenAPIdocumentation and production deployment practices.

Testing Evaluation & Observability

Support prompt testing LLM response validation RAG evaluation regression testing and hallucination checks.

Use tools such asLangSmithLangfuse RAGASDeepEvalTruLensPromptfoo or equivalent under guidance.

Capture logs traces token usage latency cost feedback and quality signals for GenAI applications.

Mandatory skill sets:

CORE GENAI- LLM APIs prompt engineering embeddings RAG semantic search vector databases structured outputs grounding (Hands-on).

Frameworks-LangChainLangGraphCrewAILlamaIndexLangflow(Hands-on).

Backend APIs- PythonFastAPI REST APIsOpenAPIasync processing(Hands-on).

Data Stores- SQL NoSQL vector DB Redis caching object storage (Working knowledge).

Cloud AI- Azure OpenAI AWS Bedrock GCP Vertex AI OpenAI Anthropic Claude Gemini Hugging Face (Working knowledge).

Document Processing- PDF Word Excel HTML OCR chunking metadata extraction indexing (Working knowledge).

Evaluation & Observability-LangSmithLangfuse RAGASPromptfooOpenTelemetrybasics (Basicto workingknowledge).

Security & Responsible AI- PII handling access control prompt injection awareness content filtering audit logging (Basic knowledge).

Soft Skills

Strong problem-solving and analytical thinking.

Ability to work in agile delivery teams and collaborate with cross-functional stakeholders.

Good communicationand documentation skills.

Ability to learn and evaluate fast-evolving GenAI tools frameworks and patterns.

Preferred skill sets:

Exposure to Kafka or messaging systems for asynchronous processing.

Exposure to MCP server development tool integration patterns oragent-to-toolcommunication.

Basic understanding of A2A communication patterns and multi-agent orchestration.

Familiarity with Docker CI/CD GitHub Actions Azure DevOps Jenkins or equivalent.

Exposuretofine-tuning SLMsvLLMOllama or Hugging Face model deployment.

Frontend integration awareness using React AngularStreamlitGradio or similar.

Domain exposure in banking healthcare insurance retail telecom or enterprise operations.

Years of experience:

5 years (with 1 years in GenAI/LLM ecosystems)

Education qualification:

B.E. // MCA/M.E// MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs.