Senior AI/ML Engineer

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description


We are seeking a highly skilled Senior AI/ML Engineer (6+ years) to design, build, and scale enterprise-grade AI systems. The ideal candidate must have strong experience in Multi-Agent Systems, RAG pipelines, vector databases, and advanced LLM-based architectures.

This role focuses on developing production-ready AI solutions, optimizing models for performance and efficiency, and integrating AI into enterprise ecosystems. The candidate will also work closely with cross-functional teams and mentor junior engineers to support the long-term AI roadmap.


Key Responsibilities


  • Architect and scale multi-agent and RAG-based AI systems using frameworks like LangChain or LlamaIndex.
  • Implement retrieval pipelines, embeddings, and knowledge integration workflows for enterprise applications.
  • Develop and deploy API-driven AI solutions integrated with databases, microservices, and front-end applications.
  • Optimize model latency, accuracy, cloud cost, and overall system performance.
  • Work closely with product, engineering, and strategy teams to convert real-world problems into scalable AI solutions.
  • Mentor junior team members and contribute to long-term AI architecture & roadmap planning.


Skills & Requirements


  • 6+ years of hands-on experience in AI/ML engineering with production deployments.

Technical Skills

  • Programming: Strong proficiency in Python.
  • Frameworks: LangChain, LlamaIndex, HuggingFace, and modern LLM frameworks.
  • Vector Databases: Pinecone, FAISS, Chroma, or similar.
  • Expertise In:

RAG systems

Embeddings & retrieval optimization

LLM architectures

Multi-agent frameworks (Autogen, CrewAI, LangGraph)

  • LLM Skills: Prompt engineering, fine-tuning, and model evaluation.
  • Additional Skills: API development, enterprise AI architecture, model optimization, retrieval pipelines, cross-functional collaboration.


Soft Skills


  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work in fast-paced, high-velocity environments.

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