Lead / Principle Generative AI Python Engineer

Trimble; Vigo; A distancia; EUR 80.000 - 120.000; Jornada completa

Descripción de la vacante

A leading logistics technology firm is looking for a Lead / Principal Generative AI Python Engineer to develop LLM-based applications. This remote role requires 8-15 years of experience in engineering, strong Python skills, and proficiency with Generative AI technologies. Ideal candidates will have experience in cloud platforms and Agile methodologies. Join a global team to influence innovative solutions in logistics.

Formación

• 8 to 15 years of engineering experience in a tier-1 organization.
• Proficiency in Python is a must.
• Minimum of 6 months experience with GenAI applications.

Responsabilidades

• Architect, implement, and optimize Generative AI applications.
• Use techniques like RAG for LLM applications.
• Develop comprehensive test suites and perform bug fixes.

Conocimientos

Strong proficiency in Python

At least 6 months experience with GenAI applications

Excellent communication skills

Leadership and mentoring abilities

Experience with cloud platforms (Azure, AWS)

Knowledge of microservices, Docker, Kubernetes

Experience with RESTful APIs and database systems

Proficiency with Git and version control

Experience with CI / CD tools

Problem-solving and analytical thinking skills

Familiarity with Agile methodologies

Risk assessment and mitigation skills

Educación

Graduated from a premier institute in Computer Science or related field

Herramientas

Docker

Kubernetes

GitHub Actions

Descripción del empleo

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 Lead / Principal Generative AI Python Engineer (Remote work) to help build LLM-based agentic applications.

Job Purpose

As a Staff 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, and techniques including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning. You will be expected to deliver tangible results and collaborate across global teams using agile methodologies. Your work will influence the delivery of intelligent, scalable, and robust AI-driven applications. Additionally, you will provide management and oversight of the capabilities, risks, and opportunities related to these 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 (LangChain, LangGraph) to orchestrate LLM-based agents.
2. Working with RAG frameworks: Use techniques such as chunking, hybrid search, query translation, similarity search, vector databases, 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: Stay updated on advancements in fine-tuning, RLHF, prompt engineering, and related fields like DSPy.
5. System Design & Architecture: Translate high-level product requirements into scalable, modular software designs following modern principles, microservices architecture, and cloud-native practices.
6. Testing & Integration: Develop comprehensive test suites (unit, integration, end-to-end), perform bug fixes, and ensure quality assurance.
7. Collaboration & Mentorship: Work with cross-functional teams, mentor junior engineers, and guide solution design and deployment.
8. Agile Delivery: Plan and execute sprints, meet deadlines, and handle production issues across time zones.
9. CI / CD & Version Control: Use CI / CD pipelines (e.g., GitHub Actions) and maintain code in GitHub for frequent releases.

Key Result Areas

1. LLM Solutions Delivery: Launch production-ready LLM-based applications on schedule with quality and scalability.
2. Quality & Automation: Ensure high-quality daily releases with comprehensive automated testing.
3. Risk Management & Reporting: Identify risks proactively and communicate progress and metrics transparently.

Skillsets

• Strong proficiency in Python
• At least 6 months experience with GenAI applications
• Excellent communication skills for working with a global team
• Leadership and mentoring abilities
• Experience with cloud platforms (Azure, AWS)
• Knowledge of microservices, Docker, Kubernetes
• Experience with RESTful APIs and database systems (NoSQL, PostgreSQL)
• Proficiency with Git and version control
• Experience with CI / CD tools like GitHub Actions
• Problem-solving and analytical thinking skills
• Familiarity with Agile methodologies (Scrum, Kanban)
• Risk assessment and mitigation skills

Qualifications & Experience

• 8 to 15 years of engineering experience in a tier-1 organization
• Proficiency in Python
• Minimum 6 months experience with GenAI
• Graduated from a premier institute in Computer Science or related field
• Achievements in national Olympiads or talent searches are a plus
• Experience presenting at national forums, contributing to open-source, or participating in standards bodies is beneficial

Job Location: Remote role