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Anand | Expertini

Urgent! Machine Learning Engineer-Agentic AI Job | Innodata Inc.

Machine Learning Engineer Agentic AI



Job description

ML Engineer – Agentic AI


Responsibilities

  • Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.

  • Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration.

  • Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines.

  • Develop APIs and backend services (FastAPI/Flask/Node.js) and integrate with enterprise systems (HRIS, CRM, ERP).

  • Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage.

  • Containerize, deploy, and monitor agents (Docker, Kubernetes, CI/CD pipelines) with observability and drift detection.

  • Collaborate with QA, red teaming, and product leads to benchmark accuracy, safety, and compliance.


Skills Required

  • Strong in Python, PyTorch/TensorFlow, Hugging Face, and fine-tuning techniques (LoRA, RLHF).

  • Hands-on with LangChain/LangGraph, MCP, A2A orchestration, and multi-agent architectures.

  • Proficient in ETL pipelines, SQL/NoSQL, vector DBs (Pinecone, Weaviate, FAISS, Milvus).

  • Backend expertise in FastAPI/Flask/Node.js, REST/GraphQL APIs, and microservices.

  • DevOps/MLOps experience: Docker, Kubernetes, CI/CD (Jenkins/GitHub Actions), monitoring/observability.

  • Cloud experience with AWS/GCP/Azure AI services and secure integration practices.

  • Bonus: familiarity with enterprise HR/ATS systems (Workday, SAP, Paychex) and workflow automation.


Required Skill Profession

Other General



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