Lead / Principle Generative AI Python Engineer
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Job Overview
We are seeking a Lead / Principle Generative AI Python Engineer (Remote) to develop LLM-based agentic applications. This role involves designing, developing, and maintaining cutting-edge AI solutions, with hands-on work in frameworks like LangChain or LangGraph, prompt engineering, RAG, and fine-tuning. You will collaborate globally, contribute to product development, and provide technical oversight on AI capabilities, risks, and opportunities.
Main Responsibilities
- Develop LLM Applications : Architect, implement, and optimize Generative AI applications using Large Language Models.
- Work with RAG frameworks : Utilize techniques such as chunking, hybrid search, and vector databases.
- Monitor Performance : Use observability tools like Datadog and Databricks for analytics.
- Stay Updated : Keep abreast of advancements in fine-tuning, RLHF, and prompt engineering.
- Design System Architecture : Translate requirements into scalable, modular designs following best practices.
- Testing & Integration : Develop comprehensive tests, perform bug fixes, and ensure quality.
- Collaborate & Mentor : Work with cross-functional teams and mentor junior engineers.
- Agile Delivery & CI / CD : Manage sprints, releases, and maintain CI / CD pipelines using tools like GitHub Actions.
Key Results
Deliver production-ready LLM applications on schedule.Maintain high quality with automated testing coverage.Identify and communicate risks effectively.Required Skills & Experience
Proficiency in Python programming.At least 6 months experience with GenAI applications.Experience with cloud platforms (Azure, AWS).Knowledge of microservices, containerization (Docker, Kubernetes), RESTful APIs, and databases (NoSQL, PostgreSQL).Experience with Git, CI / CD tools, and agile methodologies.Strong problem-solving and analytical skills.Excellent communication skills for working with global teams.Qualifications
8-15 years of engineering experience in a tier-1 organization.Degree in Computer Science or related field (B.Tech, M.E, M.Tech, M.S.).Achievements like national Olympiads, open-source contributions, or conference presentations are advantageous.Location & Employment
Remote role. Employment type : Full-time. Seniority level : Mid-Senior.
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