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AI Engineer - Generative AI / LLM / RAG

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Onsite

AI Engineer - Generative AI / LLM / RAG

Verdeshell Technologies

AI Engineer - Generative AI / LLM / RAG

Skills

ReactPythonAIFastAPI

15 days ago

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Important information


Contract type:

Permanent

Salary:

₹600,000 – ₹1,400,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 October 2026

What they need


Role & responsibilities

  • Develop production-grade AI applications and backend services using Python and FastAPI.
  • Design and implement LLM-powered applications and RAG pipelines, covering document ingestion, chunking, embeddings, retrieval and response generation.
  • Build AI agents and tool-calling workflows to automate business processes.
  • Integrate LLM APIs, enterprise data sources and external applications.
  • Work with vector databases such as Pinecone, Weaviate or pgvector.
  • Evaluate and improve retrieval relevance, response accuracy, grounding and overall application quality.
  • Implement safeguards for hallucinations, prompt injection and sensitive-data handling.
  • Optimize AI applications for latency, reliability and model usage costs.
  • Build REST APIs, data-processing workflows and integrations with relational, document or graph databases.
  • Write maintainable code, automated tests and evaluation datasets; participate in code reviews, CI/CD and deployment.
  • Collaborate with client stakeholders and engineering teams to translate business requirements into working AI solutions.

Preferred candidate profile

  • 3 to 6 years of software engineering experience, including hands-on development of AI-enabled applications.
  • Strong production experience with Python and FastAPI.
  • Practical experience building LLM applications, RAG pipelines and AI agents.
  • Strong understanding of document chunking, embeddings, semantic search, retrieval strategies and context management.
  • Experience integrating LLM APIs and implementing structured outputs, tool calling and prompt workflows.
  • Hands-on experience with Pinecone, Weaviate, pgvector or similar vector-search technologies.
  • Ability to evaluate AI outputs, diagnose retrieval failures and improve application accuracy.
  • Understanding of secure API development, testing, logging and production monitoring.
  • Familiarity with frameworks such as LangChain or LlamaIndex is preferred.
  • Knowledge of React.js is an advantage.
  • Comfortable working directly with clients and adapting to evolving requirements.
  • Available to work onsite in Bengaluru; immediate joiners preferred.

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