Lead / Principle Generative AI Python Engineer

Trimble Inc.; Valladolid; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An innovative firm is on the lookout for a Lead / Principle Generative AI Python Engineer to spearhead the development of cutting-edge AI applications. This exciting remote role involves designing and maintaining LLM-based solutions, ensuring quality through comprehensive testing, and collaborating with cross-functional teams. You will work with advanced frameworks and methodologies, contributing to impactful projects while mentoring junior engineers. If you have a passion for AI and a strong background in Python programming, this is a fantastic opportunity to make a significant impact in a forward-thinking environment.

Formación

• 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).

Responsabilidades

• Develop and optimize Generative AI applications using Large Language Models.
• Utilize RAG frameworks and monitor performance with observability tools.
• Collaborate with global teams and mentor junior engineers.

Conocimientos

Python programming

Generative AI applications

Cloud platforms (Azure, AWS)

Microservices

Containerization (Docker, Kubernetes)

RESTful APIs

Databases (NoSQL, PostgreSQL)

Git

CI / CD tools

Agile methodologies

Problem-solving skills

Analytical skills

Communication skills

Educación

Degree in Computer Science or related field

Herramientas

Datadog

Databricks

GitHub Actions

Descripción del empleo

Lead / Principle Generative AI Python Engineer

Join to apply for the Lead / Principle Generative AI Python Engineer role at Trimble Inc.

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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