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.

- 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 (Bengaluru)
🏢 Prominent Staffing
📍 Bengaluru