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Job Title


Remote Python Developer(LLMs) - 33247


Company : Turing


Location : Amritsar, Punjab


Created : 2025-04-29


Job Type : Full Time


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.