Agentic AI

2 days ago

Bengaluru, Karnataka, India Sankhyana Consultancy Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:

AI/ML Engineer Multi-Agent Systems & LLM Orchestration

Location:

Client: Bosch

Experience Required: 5 to 10 years

Job Description:

We are looking for an experienced AI/ML Engineer with strong expertise in Multi-Agent AI Systems, LLM integration, and intelligent orchestration frameworks. The ideal candidate will have hands-on experience designing, deploying, and optimizing systems using LLMs, prompt engineering, and agent behavior modeling for enterprise use cases.

Key Responsibilities:

  • Design and develop multi-agent AI frameworks using technologies like LangChain, AutoGen, AutoGPT, and Ray.
  • Integrate LLMs from providers like OpenAI and Hugging Face; build and optimize RAG (Retrieval Augmented Generation) pipelines.
  • Design effective prompt engineering techniques and behaviors for autonomous and semi-autonomous agents.
  • Implement and manage short-term/long-term memory systems, maintain conversation state, and optimize context retrieval.
  • Develop knowledge integration layers across SQL/NoSQL databases, vector stores (e.g., FAISS, Pinecone), APIs, and internal documentation systems.
  • Build robust observability and debugging tools using tools like Langfuse, and implement logging and monitoring dashboards.
  • Enforce AI safety, compliance, and human-in-the-loop controls to ensure ethical and responsible AI use.
  • Handle cloud deployment and CI/CD pipelines using Docker, Kubernetes, FastAPI, and deploy across AWS/GCP/Azure environments.

Required Skills:

  • 5-10 years of experience in AI/ML or software engineering
  • Proficiency in Python and relevant AI libraries
  • Hands-on experience with LLMs and orchestration frameworks
  • Knowledge of vector databases, data ingestion, and retrieval systems

    Experience with CI/CD pipelines, containerization, and cloud deployment
  • Understanding of AI observability, security, and compliance mechanisms

Good to Have:

  • Experience in agent behavior simulation or reinforcement learning
  • Contributions to open-source AI frameworks
  • Familiarity with LangSmith, MLFlow, or similar tools
  • Exposure to MLOps practices and DevSecOps

Why Join Us?

  • Work on cutting-edge multi-agent LLM systems
  • Collaborate with top minds at Bosch
  • Opportunity to shape the future of intelligent automation and conversational AI

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