ML Engineer - Agentic AI || Remote Opportunity
- Innodata India
- 7 - 11 years
- Noida, Gurugram
- 3 months ago
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Job Description
Full Stack ML Engineer Agentic AI
At Innodata, we build enterprise-grade agentic AI solutions that go beyond chatbotsmulti-agent systems with context, compliance, and orchestration. We are looking for Full Stack ML Engineers who can take ownership of end-to-end agent engineering, from data pipelines and model fine-tuning to multi-agent orchestration and production deployment. This role is critical to delivering secure, scalable, and reliable AI agents for use cases such as HR onboarding, smart search, copilots, and enterprise workflow automation.
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Innodata IndiaLocation(s): Noida, Gurugram
Keyskills: multi agent system cloud Agenti AI python lang chain lang graph RAG ETL ML docker Kubernetes
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Innodata India
Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performan...
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