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Senior Ai/Ml Engineer
Senior Ai/Ml EngineerRapidBrains • Nashik, Republic Of India, IN
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Senior Ai / Ml Engineer

Senior Ai / Ml Engineer

RapidBrains • Nashik, Republic Of India, IN
1 day ago
Job description

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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