Lead / Principle Python Engineer for Generative AI Backend Development

Lead / Principle Python Engineer for Generative AI Backend Development

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Overview

We are seeking a Generative AI Lead / Principal Python Engineer to develop LLM-based agentic applications. This role involves designing, implementing, and maintaining advanced AI solutions, working with frameworks like LangChain or LangGraph, and employing techniques such as prompt engineering, RAG, and fine-tuning. You will contribute directly to product development, collaborate globally, and guide technical strategy, including risk assessment and opportunity identification.

Main Responsibilities

• LLM Application Development : Architect and optimize Generative AI applications using Large Language Models and agent frameworks.
• Working with RAG frameworks : Utilize techniques like chunking, hybrid search, and vector databases.
• Monitoring Performance : Use observability tools such as Datadog and Databricks.
• Research & Innovation : Keep abreast of advancements in fine-tuning, RLHF, and prompt engineering.
• System Design & Architecture : Translate requirements into scalable, modern architectures.
• Testing & Integration : Develop comprehensive test suites and ensure quality assurance.
• Collaboration & Mentorship : Work with cross-functional teams and mentor junior engineers.
• Agile Delivery : Manage sprints and handle production issues efficiently.
• CI / CD & Version Control : Implement pipelines and maintain code repositories.

Key Result Areas

Required Skills

Job Details

Location : Remote (where legally permitted). Employment contract only.

Our Commitment to Diversity

We value diversity, equity, and inclusion, actively fostering an inclusive environment where everyone belongs.

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