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Python AI Engineer​/GenAI Backend Developer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Bitcot Inc.
Contract position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Python, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

We are looking for some fresh talents

We are looking for a Python AI Engineer / GenAI Backend Developer to join our team.

We are looking for an AI Engineer / GenAI Backend Developer with 1 to 1.5 years of experience who can build practical AI applications by combining Python backend engineering, Generative AI, RAG, and Agentic AI.

The ideal candidate should have hands‑on experience with Python, FastAPI/Flask, LLMs, RAG, Lang Chain or Lang Graph, vector databases, REST APIs, and cloud platforms. They should be comfortable building AI-powered applications, integrating APIs and tools, and developing reliable backend services.

Key Areas:
  • Agentic AI: AI agents, basic Lang Graph workflows, tool calling, and agent workflows
  • Generative AI: LLMs, prompt engineering, embeddings, context management, and basic AI evaluation
  • RAG:
    Document ingestion, chunking, embeddings, retrieval, and vector databases
  • Backend:
    Python, FastAPI/Flask, REST APIs, OOP, and clean coding practices
  • Cloud:
    Basic experience with AWS or other cloud platforms
  • Databases:
    PostgreSQL/MySQL, No

    SQL basics, and familiarity with vector databases
  • Engineering:
    Docker, Git/Git Hub, unit testing, debugging, logging, and API development
  • AI-Assisted Development:
    Claude, Cursor, Git Hub Copilot, or similar AI coding tools
What We’re Looking For:

We’re looking for engineers who can build and debug practical GenAI applications, not just understand AI terminology.
You should have a strong foundation in Python and backend development, along with practical knowledge of LLMs, RAG, embeddings, and AI agents. You should be willing to learn new AI technologies and work across backend and GenAI components.
Strong problem-solving, debugging, communication, learning ability, and ownership are essential. We also value developers who use AI coding assistants to improve productivity while taking full ownership of the code, testing, security, and technical decisions.

Let us empower your business, improve your efficiency, and give you the competitive advantage!

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