Pwc
INSr.AssociateGenAIDeveloperAgenticAI&LLMPlatformsAppTechAdvisoryKolkata/Bangalore/Mumbai(EARLYjoiners)
“IN-Sr. Associate_ GenAI Developer_Agentic AI & LLM Platforms _AppTech_Advisory_ Kolkata / Bangalore / Mumbai (EARLY joiners) at Pwc. Skills: GenAI Development, LLM Platforms, Agentic AI, RAG. Design GenAI applications. Build GenAI applications”
Industry & Context.
Problem-solving; Analytical thinking
What They're Looking For.
Must Have
5+ years experience, 1+ years GenAI/LLM experience, LLM APIs, prompt engineering, embeddings, RAG, semantic search, vector databases, structured outputs, grounding, LangChain, LangGraph, CrewAI, LlamaIndex, Langflow, Python, FastAPI, Node.js, REST APIs, OpenAPI, async processing, SQL, NoSQL, vector DB, Redis caching, object storage, Azure OpenAI, AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic Claude, Gemini, Hugging Face, PDF, Word, Excel, HTML, OCR, chunking, metadata extraction, indexing, LangSmith, Langfuse, RAGAS, Promptfoo, PII handling, access control, prompt injection awareness, content filtering, audit logging
Nice to Have
Kafka exposure, messaging systems exposure, MCP server development exposure, tool integration patterns exposure, agent-to-tool communication exposure, A2A communication patterns understanding, multi-agent orchestration understanding, Docker familiarity, CI/CD familiarity, GitHub Actions familiarity, Azure DevOps familiarity, Jenkins familiarity, fine-tuning exposure, SLMs exposure, vLLM exposure, Ollama exposure, Hugging Face model deployment exposure, React frontend integration awareness, Angular frontend integration awareness, Streamlit frontend integration awareness, Gradio frontend integration awareness, banking domain exposure, healthcare domain exposure, insurance domain exposure, retail domain exposure, telecom domain exposure, enterprise operations domain exposure
What You'll Do.
Design GenAI applications
Build GenAI applications
Test GenAI applications
Deploy GenAI applications
Use structured outputs
Build conversational AI
Build enterprise search
Build data extraction
Build workflow automation
Integrate GenAI features
Integrate with backend applications
Integrate with portals
Integrate with databases
Integrate with document stores
Integrate with enterprise systems
Implement prompt orchestration
Implement context management
Implement response formatting
Implement source citation handling
Implement feedback capture
Build document ingestion pipelines
Implement semantic search
Implement hybrid search
Support retrieval optimization
Optimize metadata filtering
Optimize chunking strategy
Optimize citation generation
Work with enterprise knowledge sources
Develop agentic workflows
Implement agents with tools
Implement agents with memory
Implement agents with reasoning steps
Implement agents with API actions
Implement agents with human-in-the-loop
Build semi-autonomous workflows
Automate business processes
Follow safety guardrails
Follow approval guardrails
Develop backend services
Build APIs for LLM orchestration
Build APIs for retrieval
Build APIs for ingestion
Build APIs for evaluation
Build APIs for semantic search
Build APIs for agent execution
Work with SQL databases
Work with NoSQL databases
Follow secure coding practices
Implement exception handling
Implement request validation
Create OpenAPI documentation
Implement production deployment
Support prompt testing
Support LLM response validation
Support RAG evaluation
Support regression testing
Support hallucination checks
Capture quality signals
How You'll Work.
Team & Collaboration
Agile delivery teams; Cross-functional stakeholders
Communication Scope
Documentation
Process & Methodology
Agile
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