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📜 Description

  • Develop and maintain APIs using the FastAPI framework.
  • Implement background tasks and asynchronous processing to optimize system performance.
  • Design and build LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains).
  • Context engineering — structuring prompts, managing context windows, optimizing token usage.
  • Work with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks.
  • Build evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing).

🛠️ Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2-4 years of experience in Python development.
  • Proven experience with FastAPI framework.
  • Proficiency in MongoDB database management systems.
  • Excellent problem-solving and communication skills.
  • Ability to work effectively both independently and as part of a team.

✨ Benefits

  • Market-competitive salary – rewarding your contributions fairly.
  • Global team experience – collaborate with talented professionals worldwide.
  • Exposure in AI – Opportunity for upscaling in AI technologies and techniques.
  • Health insurance & wellness perks – including fitness reimbursements.
  • Paid leaves – including parental, maternity, and wedding leaves.
  • Annual company retreat – connect, network, and recharge with the team.
Full job description

We are looking for a skilled AI Engineer with a strong background in FastAPI framework and experience in handling background tasks. The ideal candidate will be responsible for designing, implementing, and maintaining robust, scalable APIs for our [product/service]. You will collaborate closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs.

Key Responsibilities:

  • Develop and maintain APIs using the FastAPI framework.
  • Implement background tasks and asynchronous processing to optimize system performance.
  • Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)
  • Context engineering — structuring prompts, managing context windows, optimizing token usage, implementing retrieval strategies to feed LLMs the right information at the right time
  • Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks
  • Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)
  • Implementing guardrails, content filtering, and responsible AI patterns
  • Optimizing latency and cost for LLM-heavy workloads (caching, streaming, batching)
  • Write clean, efficient, and maintainable code that adheres to industry best practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2-4 years of experience in Python development.
  • Proven experience with FastAPI framework.
  • Proficiency in MongoDB database management systems.
  • Excellent problem-solving and communication skills.
  • Ability to work effectively both independently and as part of a team.
  • Experience with version control systems (e.g., Git) is a plus.

Benefits

    • Market-competitive salary – rewarding your contributions fairly.
    • Global team experience – collaborate with talented professionals worldwide.
    • Exposure in AI – Opportunity for upscaling in AI technologies and techniques.
    • Health insurance & wellness perks – including fitness reimbursements.
    • Paid leaves – including parental, maternity, and wedding leaves.
    • Annual company retreat – connect, network, and recharge with the team.
  • Join us and be part of an innovative, fast-growing company where your work makes a real impact!
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