Senior ML Engineer

1 week ago


Bengaluru, Karnataka, India gnani Full time US$ 1,20,000 - US$ 2,00,000 per year

We're building next-gen AI-powered product experiences — intelligent assistants, agentic workflows, and scalable RAG systems. We're hiring a Senior ML Engineer / Applied Scientist who can build
production-grade RAG architectures
, develop
agentic systems
(LangGraph, CrewAI, AutoGen), and deploy
high-performance LLM inference
using
vLLM, SGLang, TensorRT-LLM
, while working with modern
vector databases (Qdrant, MongoDB Vector Search)
.

This is a hands-on role at the intersection of AI systems, retrieval, agents, and product engineering.

What You'll Do

  • Build end-to-end
    RAG pipelines
    (ingestion → embeddings → vector DB → retrieval → generation).
  • Work with
    open-source models
    (LLaMA, Mistral, Qwen, Gemma) and
    closed-source models
    (GPT-4.x, Claude 3, Gemini, Grok).
  • Develop agentic workflows using
    LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex
    .
  • Deploy & optimize inference using
    vLLM, SGLang, TensorRT-LLM, TGI
    .
  • Implement scalable vector search with
    Qdrant
    &
    MongoDB Atlas Vector Search
    .
  • Build multilingual pipelines with Indic-language support.
  • Set up evaluation using
    Ragas, DeepEval, LangSmith, TruLens
    .
  • Work closely with backend/product teams to deploy RAG + agent systems in production.

What You Bring

  • 4–8+ years in ML engineering, NLP, or LLM-based product development.
  • Strong hands-on RAG experience (chunking, embeddings, reranking, retrieval optimization).
  • Experience with
    Qdrant
    ,
    MongoDB Vector Search
    , FAISS, Milvus, Pinecone, or Weaviate.
  • Practical experience with
    vLLM
    ,
    SGLang
    , model routing, and inference optimization.
  • Proficiency with
    LangGraph
    ,
    CrewAI
    ,
    AutoGen
    ,
    LangChain
    , or
    LlamaIndex
    .
  • Experience integrating both open-source and closed-source LLMs.
  • Ability to ship production systems with strong reliability, latency, and quality.

Bonus Skills

  • Knowledge graphs, semantic retrieval, long-context models.
  • Multi-agent systems & complex tool-routing workflows.
  • Experience with Indic languages and OCR pipelines.


  • Join us to build the AI backbone of next-generation product experiences.


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