Lead / Principle Generative Ai Python Engineer

buscojobs España; Las Palmas de Gran Canaria; A distancia; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Lead / Principle Generative AI Python Engineer to develop innovative AI applications. This remote role requires extensive experience in Python, cloud platforms, and leading teams. The ideal candidate will design, build, and optimize large language model applications while ensuring high quality and collaborating with global teams.

Formación

• 8-15 years of engineering experience in a tier-1 organization.
• At least 6 months experience with GenAI applications.
• Achievements in national Olympiads or conference presentations are advantageous.

Responsabilidades

• Develop and optimize Generative AI applications using LLMs.
• Collaborate with cross-functional teams and mentor junior engineers.
• Manage sprints, releases, and maintain CI/CD pipelines.

Conocimientos

Python programming

Problem-solving

Analytical skills

Communication skills

Educación

Degree in Computer Science or related field

Herramientas

Docker

Kubernetes

Azure

AWS

Git

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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