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Turing

Remote Python Developer(LLMs)

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  • Posted 3 hours ago
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Job Description

We're hiring a Generative AI Engineer (Python) to join a leading U.S.-based tech firm that's building high-impact LLM-based systems. If you're excited by the idea of using your Python expertise to power GenAI solutions, this is the opportunity you've been waiting for.

What You'll Do:

  • Build LLM applications using tools like Langchain and design RAG (Retrieval-Augmented Generation) pipelines.
  • Apply prompt engineering and develop agent-based frameworks to build smart, contextual AI systems.
  • Help shape the technical direction and roadmap of the company's AI initiatives.
  • Translate business needs into scalable, production-ready GenAI solutions.
  • Work with SMEs and data teams to ensure that the AI outputs are both usable and accurate.
  • Join in on architecture discussions, do peer code reviews, and continuously optimize system performance.

What You Bring:

  • Strong hands-on experience with Python, especially in AI or ML contexts.
  • Proficiency in Langchain, prompt tuning, and working with LLMs.
  • Comfort with concepts like embeddings, vector databases, and agent workflows.
  • Experience with SQL and familiarity with cloud platforms (AWS/GCP/Azure).
  • Great communication skills and the ability to work well in remote, globally distributed teams.
  • Availability for at least 5 hours of overlap with PST/PT time zone.

Nice to Have:

  • 1+ years of hands-on experience working with LLMs or GenAI frameworks.
  • 7–12 years of total experience in software development or AI/ML domains.
  • Exposure to end-to-end ML pipelines, model deployment, or MLOps practices.
  • Previous experience collaborating with clients or cross-functional AI teams.

Why Join Us

  • Work with leading experts in AI/ML across the globe.
  • High-impact work that's solving real-world problems.
  • 100% remote role with flexibility and autonomy.
  • Competitive global compensation package.

Note: A coding assignment or LLM use-case evaluation may be part of the selection process.

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About Company

Job ID: 148977095