ML Engineer - Agentic AI || Remote Opportunity

Full Stack ML Engineer Agentic AI

agentic AI solutions

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.