Junior GenAI Developer

New

Skills

Backend development Cloud platforms (AWS) Debugging Embeddings Git Hybrid search mechanisms Large Language Models (LLMs) Python programming REST APIs Vector databases

We are seeking a Junior GenAI Developer to support the design, development, and operation of production-grade Generative AI solutions. This role focuses on Retrieval-Augmented Generation (RAG), internal knowledge platforms, and AI-driven automation use cases, emphasizing hands-on engineering rather than prompt-writing.

Key Responsibilities
  • Implement core RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation.
  • Develop Python-based services and APIs that integrate Large Language Models (LLMs).
  • Assist in building agent-based workflows with tool/function calling.
  • Work with vector databases and hybrid search mechanisms.
  • Participate in debugging hallucinations, retrieval failures, and quality issues.
  • Write clean, testable, and maintainable code.
  • Collaborate with senior engineers to move GenAI POCs into production.
Required Skills & Qualifications
  • 2+ years of experience with Python programming and backend development.
  • Understanding of REST APIs and backend service development.
  • Basic understanding of LLMs, tokens, context windows, and hallucination.
  • Foundational knowledge of embeddings and vector search.
  • Familiarity with Git and standard software development practices.
  • Basic exposure to cloud platforms (AWS preferred).
  • Nice to have: Experience with LangChain, LangGraph, or similar frameworks.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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