Lead / Principle Python Engineer For Generative Ai Backend Development

Trimble Inc.; Marbella; A distancia; EUR 75.000 - 100.000; Jornada completa

Descripción de la vacante

A leading logistics technology provider is seeking a Lead / Principal Python Engineer to develop cutting-edge Generative AI applications. This role focuses on leveraging Large Language Models and requires solid expertise in Python, cloud platforms, and modern software architecture. The position is remote and offers a full-time employment contract, promoting diversity and an inclusive work environment.

Formación

• Minimum 6 months experience with GenAI applications in production.
• Strong communication skills for global team collaboration.
• Experience with cloud platforms.

Responsabilidades

• Architect, implement, and optimize Generative AI applications leveraging Large Language Models.
• Develop comprehensive test suites to ensure code quality.
• Mentor junior engineers in LLM-based solution design.

Conocimientos

Python programming

GenAI applications

Cloud platforms (Azure, AWS)

Microservices architecture

RESTful APIs

CI/CD tools (GitHub Actions)

Agile methodologies (Scrum, Kanban)

Leadership and mentoring

Problem-solving and analytical skills

Database systems (NoSQL, PostgreSQL)

Herramientas

Docker

Kubernetes

Descripción del empleo

Lead / Principal Python Engineer for Generative AI Backend Development

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

Transporeon is a SaaS company founded in 2000 in Ulm, Germany. The company provides logistics solutions across several areas, including:

• Buying & selling of logistics services
• Organizing dock, yard, truck, and driver schedules
• Invoice auditing for logistics services

It has grown significantly over the years, reaching €150m in revenue before being acquired by Trimble for $2 billion USD in 2022. Transporeon has one of the largest networks of shippers and carriers in Europe, with approximately 1,400 employees. We are looking for Generative AI Lead / Principal Python Engineers to help build LLM-based agentic applications.

As a Lead / Principal Software Engineer specializing in Generative AI, you will design, develop, and maintain cutting-edge LLM-based agentic applications. This role requires hands-on expertise in frameworks such as LangChain or LangGraph (or comparable frameworks), and techniques including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning. You will be expected to ship deliverables yourself as well. You will build solutions to meet functional requirements for innovative Trimble products, collaborating across global teams and leveraging agile methodologies. Your work will directly influence the delivery of intelligent, scalable, and robust AI-driven applications. Additionally, you will provide non-technical management and overview of the capabilities, risks, and opportunities related to specific technologies.

Main Responsibilities

1. LLM Application Development: Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs). Quickly learn and adopt agentic frameworks (e.g., LangChain, LangGraph) to orchestrate LLM-based agents.
2. Working with RAG frameworks: Use techniques such as chunking, hybrid search, query translation, similarity search, vector DBs, evaluation metrics, and ANN algorithms.
3. Monitoring performance: Use observability services such as Datadog and Databricks for LLM observability and analytics.
4. Keep track of latest research: Given that this is a fast-evolving field, stay updated on advancements in fine-tuning, RLHF, and prompt engineering, including DSPy.
5. System Design & Architecture: Translate high-level product requirements into scalable, modular software designs adhering to modern design principles, microservices architecture, and cloud-native best practices.
6. Testing & Integration: Develop comprehensive test suites (unit, integration, end-to-end) to ensure code quality. Integrate solutions across systems, perform bug fixes, and conduct quality assurance.
7. Collaboration & Mentorship: Work with cross-functional stakeholders, including business analysts, product managers, and global development teams. Mentor junior engineers in LLM-based solution design, implementation, and deployment.
8. Agile Delivery: Plan and execute sprints, meet deadlines, and handle production issues across multiple time zones.
9. CI / CD & Version Control: Use CI / CD pipelines (e.g., GitHub Actions) and maintain code in GitHub for seamless releases.

Key Result Areas

1. LLM Solutions Delivery: Launch production-ready LLM-based applications on schedule, ensuring quality and scalability.
2. Quality & Automation: Achieve high-quality daily releases with extensive automated testing.
3. Risk Management & Reporting: Identify risks proactively and communicate them effectively. Maintain transparent reporting of progress and metrics.

Needed Skillsets

• Strong proficiency in Python programming
• Minimum 6 months experience with GenAI applications in production
• Strong communication skills for global team collaboration
• Experience with cloud platforms (Azure, AWS)
• Knowledge of microservices architecture and containerization (Docker, Kubernetes)
• Experience with RESTful APIs and API design
• Understanding of database systems (NoSQL, PostgreSQL)
• Proficiency with Git and version control
• Experience with CI/CD tools (GitHub Actions)
• Problem-solving and analytical skills
• Experience with Agile methodologies (Scrum, Kanban)
• Risk assessment and mitigation skills
• Leadership and mentoring abilities

Job Location

Remote in countries with legal entities. We offer employment contracts only, no freelancing.

Our Inclusiveness Commitment

We celebrate diversity and actively promote inclusion. Our programs ensure our team feels seen, heard, and valued, regardless of background or identity.

Seniority level: Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• Software Development