Full Stack Agentic AI Engineer

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.
• Good 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.