Lynx Analytics

AI Engineer (India)

Lynx Analytics
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1 month ago
Pune, IndiaMid Level / Senior

Responsibilities

  • Build and maintain agentic pipelines and workflows involving tool use, orchestration, and multi-step reasoning.
  • Implement and tune RAG pipelines, including embedding, chunking, vector retrieval, and retrieval evaluation.
  • Contribute to memory and context layers, vector database integrations, knowledge graph pipelines, and state management.
  • Write clean, well-tested Python code and participate in code reviews.
  • Debug and improve AI systems using evaluation results and production feedback.
  • Integrate AI components with upstream data sources and downstream applications in collaboration with data engineers and domain experts.
  • Document implementations and contribute to shared internal tooling.

Requirements

  • 2–4 years of software or ML engineering experience, including at least 1 year working with LLMs or AI systems professionally.
  • Working knowledge of LLM APIs such as OpenAI or Anthropic and at least one agentic or RAG framework such as LangChain or LlamaIndex.
  • Solid Python skills and familiarity with version control, testing, and REST APIs.
  • Familiarity with vector databases or embedding-based search.
  • Interest in agentic AI and willingness to apply new techniques.
  • Strong communication and collaboration skills across cross-functional and client-facing teams.
  • Ability to overlap with Pacific Time business hours for at least 3 hours per day.

Benefits

  • Work on real-world AI and advanced analytics solutions with measurable business impact.
  • Collaborate with a global team of engineers and data scientists.
  • Gain exposure to diverse industries, modern cloud platforms, and emerging AI technologies.
  • Work in a collaborative culture focused on real outcomes.
  • Rapid learning opportunities and diverse challenges.
  • Flat organizational hierarchy with high visibility and accessibility to leadership.
  • India-based role requiring at least 3 hours of daily overlap with Pacific Time business hours.

Tech Stack

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Lynx Analytics

About Lynx Analytics

51-200 employees
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