Description

Key Skills Required

- Core Engineering
- Robust Python; TypeScript / Node.js a plus
- REST / gRPC API design, async programming, FastAPI or equivalent
- Experience building cloud-native microservices
- Hands-on experience with Kafka-based event-driven architecture
- Practical understanding of Domain-Driven Design (DDD) concepts
- Git, GitHub Actions, FluxCD, GitOps workflows
- Docker, Kubernetes, Helm

- GenAI / LLM Development

- Hands-on with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source models)
- Prompt engineering, prompt versioning, structured output (JSON schema, Pydantic)
- RAG pipeline implementation — chunking, embeddings, vector stores (pgvector, FAISS, Pinecone, Weaviate)
- Function calling, tool use, and agent loops

- Agentic Frameworks & Tooling

- LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent
- MCP server/client implementation
- Familiarity with Speckit, GitHub Copilot extensions, Figma MCP integration
- Experience building coding agents, review agents,



or test-generation agents

- Evaluation & Guardrails

- Working knowledge of eval frameworks (Ragas, DeepEval, promptfoo, LangSmith)
- Guardrail implementation (NeMo Guardrails, Guardrails AI, custom validators)
- Observability: LangFuse, OpenTelemetry, token/cost dashboards

- Data & Integration

- SQL and NoSQL basics; data pipelines for ingestion and indexing
- Integration with enterprise systems (Jira, Confluence, GitHub, Artifactory)
- Cloud services (Azure / AWS / GCP) — storage, compute, identity

- Soft Skills

- Collaborative team player; works closely with the Solution Architect and AI/ML Engineer
- Quick learner who stays current with the fast-moving GenAI ecosystem
- Strong ownership — ships production-grade code, not prototypes.

Responsibilities

Part of Agentic AI team

Qualifications

BE Computer, 4-8 years of experience

📌 AES - DE - Generative AI Application Developers (Pune)
🏢 Zensar Technologies
📍 Pune