Agentic AI Engineer

Job Overview-

- Experience: 7–15 Years
- Open Positions: 2
- Location: Noida, India
- Work Mode: Remote
- Employment Type: Contract
- Contract Duration: 6–12 Months

Job Description-

We are looking for an experienced Agentic AI Engineer to design, develop, and implement production-ready agentic AI solutions using LangGraph, Multi-Agent Architectures, Python, MCP, and A2A protocols.

Key Responsibilities-

- Design and develop multi-agent workflows using LangGraph, including nodes, conditional edges, typed state schemas, reducers, and intent routing.
- Implement Human-in-the-Loop (HITL) workflows with interrupt/resume capabilities and persistent checkpointing using SAP HANA.
- Develop and implement Agent-to-Agent (A2A) communication protocols, including agent servers, agent cards, skill advertisement, and JSON-RPC streaming over SSE.
- Design and host Model Context Protocol (MCP) servers and tool integrations.
- Build and optimize RAG pipelines, semantic search, and context ingestion using vector databases.
- Implement prompt engineering techniques, structured output constraints, PII protection, and adversarial input testing.
- Integrate MLflow for agent monitoring, experiment tracking, token usage, and model performance evaluation.
- Develop asynchronous Python applications using Python 3.13, asyncio, and ContextVars.




- Build and maintain Python backend services using FastAPI or Starlette.
- Develop automated test suites using pytest and pytest-asyncio.
- Maintain and troubleshoot CI/CD pipelines using Azure DevOps or GitHub Actions.
- Design reliable AI workflows by combining LLM-based reasoning with deterministic code and business logic.

Primary Skills (Must-Have)-

- LangGraph & Multi-Agent AI Development
- Agentic AI & Human-in-the-Loop (HITL)
- Python 3.13, Asyncio & FastAPI / Starlette
- MCP (Model Context Protocol) & A2A Protocols
- Transformer Architecture & LLM Tool-Calling
- Prompt Engineering & LLM Security
- RAG Pipelines, Semantic Search & Vector Databases
- SAP HANA Cloud Vector Engine or Similar
- MLflow & Agent Experiment Tracking
- Pytest & Pytest-Asyncio
- Azure DevOps / GitHub Actions (CI/CD)

Positive-to-Have Skills-

- SAP AI Core, AI Launchpad, SAP AI SDK, and Generative AI Hub.
- OpenTelemetry and distributed tracing.
- Dynatrace and Kibana for monitoring and troubleshooting.
- LLM evaluation frameworks, golden datasets, and LLM-as-a-judge.
- AI observability and token usage tracking.
- Ruff, Mypy, and Pre-commit.
- n8n workflow automation.
- EU AI Act, AI governance, and responsible AI practices.

If interested click 'Apply

📌 Agentic AI Engineer (India)
🏢 Aarquench Solutions Private
📍 India