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Gen AI Engineer- RAG, Vertex AI, AWS Bedrock

4 years

0 Lacs

India

Posted:2 months ago| Platform: Linkedin logo

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Skills Required

ai vertex aws data processing design retrieval ocr textract vision extract orchestration strategies api fastapi latency storage ml gcp inference model docker mlflow python development reasoning automation management tuning integration planning

Work Mode

Remote

Job Type

Full Time

Job Description

About Us

We’re an early-stage startup building LLM-native products that turn unstructured documents into intelligent, usable insights. We work with RAG pipelines, multi-cloud LLMs, and fast data processing — and we’re looking for someone who can build, deploy, and own these systems end-to-end.


Key Responsibilities:

RAG Application Development:

Retrieval-Augmented Generation (RAG)


OCR & Multimodal Data Extraction:

OCR tools


LLM Orchestration & Agent Design:

LangChain


API & Streaming Interfaces:

production-ready APIs


Data Pipelines & Retrieval:

Quadrant


Serverless AI Workflows:

serverless ML components


MLOps & Model Evaluation:

MLOps workflows


Qualifications:

  • Strong Python development skills (must-have).
  • LLMs: Claude and Gemini models
  • Experience building AI agents and LLM-powered reasoning pipelines.
  • Deep understanding of embeddings, vector search, and hybrid retrieval techniques.
  • Experience with Quadrant DB
  • Experience designing multi-step task automation and execution chains.

  • Streaming:

    Ability to implement and debug LLM streaming and async flows
  • Knowledge of memory and context management strategies for LLM agents (e.g., vector memory, scratchpad memory, episodic memory).
  • Experience with AWS Lambda for serverless AI workflows and API integrations.
  • Bonus: LLM fine-tuning, multimodal data processing, knowledge graph integration, or advanced AI planning techniques.
  • Prior experience at startups only ( not IT services or Enterprises) and short notice period


Who You Are

  • 2–4 years of real-world AI/ML experience, ideally with production LLM apps
  • Startup-ready: fast, hands-on, comfortable with ambiguity
  • Clear communicator who can take ownership and push features end-to-end

  • Available to join immediately


Why Join Us?

  • Founding-level role with high ownership
  • Build systems from scratch using the latest AI stack
  • Fully remote, async-friendly, fast-paced team

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