Job Requirements :

- Must have skills: Agentic AI, Generative AI, Large Language Models (LLMs), Python (and one of Java
/ TypeScript), Agent Orchestration (LangGraph, CrewAI, AutoGen, Semantic Kernel), Function Calling
& Tool Integration, Model Context Protocol (MCP), Prompt Engineering, RAG and Vector Databases
(FAISS, Pinecone, Chroma, Milvus, pgvector), API Engineering (FastAPI / Node.js, REST,
WebSockets, streaming), Agent Evaluation & Guardrails, MLOps & LLMOps, Docker, CI/CD on
Azure/AWS/GCP.
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Positive to have skills: React / Next.js, Streamlit, Gradio, Copilot and chat UX patterns, Amazon
Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK,
Agent-to-Agent (A2A) protocols, LangSmith, Langfuse, RAGAS, DeepEval, Arize Phoenix,
OpenTelemetry, NeMo Guardrails, vLLM, LoRA/PEFT fine-tuning, PyTorch, TensorFlow, MLflow,
SageMaker, Azure ML, Kubeflow, Kubernetes, Terraform, Kafka, Celery, Redis, PostgreSQL, SQL,
Spark, NLP, Computer Vision, Responsible AI

Professional & Technical Skills
• Strong hands-on engineering in Python (and one of Java or TypeScript), with solid
fundamentals in APIs, async programming, data structures, testing and version control.




• Practical experience designing and implementing Agentic AI and Generative AI applications that
are live in operations — not only notebooks or pilots.
• Working experience across the agentic stack: orchestration frameworks, tool/function calling,
MCP, RAG and vector search, evaluation tooling, guardrails and observability.
• Working experience operationalising AI/ML solutions on at least one major public cloud using
cloud-native AI services, open-source technologies and third-party tooling.
• Comfort with front-end or interface work for AI applications (React/Next.js, Streamlit, Gradio or
equivalent) and with streaming and real-time UX patterns.
• Sound judgement on cost, latency and reliability trade-offs in LLM-powered systems.
• Clear written and verbal communication, with the ability to explain technical trade-offs to
business stakeholders.
Additional Information
• This role is based in India and follows the applicable hybrid working model, with time in the
office as required by the engagement.
• Travel may be required depending on business need and client requirements.

📌 Full Stack Agentic AI Engineer (Pune)
🏢 Prominent Staffing
📍 Pune