Lead/Principle Python Engineer for Generative AI Backend Development

Trimble; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Job summary

A leading company in logistics solutions seeks a Lead/Principal Python Engineer specializing in Generative AI. In this remote role, you'll develop LLM-based applications, collaborate across teams, and leverage modern frameworks. Ideal candidates will have strong Python skills and cloud experience, contributing to innovative AI-driven solutions.

Qualifications

• Strong proficiency in Python programming language.
• Minimum 6 months experience with GenAI applications in production.
• Strong communication skills for global collaboration.

Responsibilities

• Architect, implement, and optimize Generative AI applications.
• Develop comprehensive test suites for code quality assurance.
• Collaborate with global teams and mentor junior engineers.

Skills

Proficiency in Python

Cloud platforms (Azure, AWS)

Microservices Architecture

Problem-Solving

Agile Methodologies

Tools

GitHub

Docker

Kubernetes

RESTful APIs

Job description

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Lead/Principle Python Engineer for Generative AI Backend Development

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Client:

Trimble

Location:

United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

7b3fc2fb9146

Job Views:

4

Posted:

29.06.2025

Expiry Date:

13.08.2025

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Job Description:

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 a Generative AI Lead/Principal Python Engineers to help build LLM-based agentic applications.

As a Lead/Principle 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. In other words, you will be expected to ship deliverables yourself too. 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. Moreover, you will be expected to provide non-technical management and overview of the capabilities, the risks and the opportunities related to specific technologies.

Main Responsibilities...

• LLM Application Development: Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs). Quickly learn and adopt agentic frameworks (, LangChain, LangGraph) to orchestrate LLM-based agents.
• Working with RAG frameworks: Use techniques such as chunking, hybrid search, query translation, similarity search, vector DBs, evaluation metrics, and ANN algorithms.
• Monitoring performance: Using observability services such as Datadog and Databricks for LLM Observability and analytics.
• Keep track of latest research: Given that this is a fast evolving field, it’s important to keep track of the latest advancements in fine-tuning, RLHF, and prompt engineering advancements such as DSPy.
• System Design & Architecture: Translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud-native best practices.
• Testing & Integration: Develop comprehensive test suites (unit, integration, and end-to-end) to ensure code quality and ensure that automated tests cover a high percentage of the codebase. Integrate solutions across systems, perform bug fixes, and conduct rigorous quality assurance.
• Collaboration & Mentorship: Collaborate with cross-functional stakeholders, including business analysts, product managers, and global development teams. Mentor junior engineers, guiding them through LLM-based solution design, implementation, and deployment.
• Agile Delivery: Work in an agile environment, planning and executing sprints, meeting strict deadlines, and efficiently handling production issues across multiple time zones.
• CI/CD & Version Control: Employ CI/CD pipelines (GitHub Actions or similar) and maintain code versioning in GitHub for seamless, frequent releases.

Key Result Area...
LLM Solutions Delivery: Launch production-ready LLM-based agentic applications on schedule, ensuring quality and scalability.
Quality & Automation: Achieve high-quality daily releases and ensure automated tests cover a high percentage of the codebase.
Risk Management & Reporting: Proactively identify risks and effectively communicate them to stakeholders. Maintain transparent and timely reporting of development progress and metrics.

Needed Skillsets...

• Strong proficiency in Python programming language
• Minimum 6 months experience working with GenAI applications in production environment
• Strong communication skills since we work with a global team
• Experience with cloud platforms ( Azure, AWS)
• Knowledge of microservices architecture and containerization technologies (, Docker, Kubernetes)
• Experience with RESTful APIs and API design principles
• Understanding of database management systems (, NoSQL, PostgreSQL)
• Proficiency with Git for version control
• Version Control Systems (GitHub, managing code changes and collaborating with other team members, maintaining a history of code revisions)
• Continuous Integration/Continuous Deployment (tools like GitHub Actions, integrating the automation into CI/CD pipelines)
• Problem-Solving and Analytical Thinking (designing efficient automation solutions/frameworks, ability to identify and troubleshoot complex software defects)
• Agile Methodologies (Scrum or Kanban, planning for iterative development cycles, manage frequent releases)
• Risk Assessment and Mitigation (ability to identify and mitigate risks related to software quality, measure how well risks are documented and managed throughout the project)
• Leadership and Mentoring (guiding and mentoring other engineers, providing technical expertise)

Job Location
Remote role in countries where we have legal entities. We are not offering freelancing contract, only employment contract.

Our Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.

We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.