Lead / Principle Generative AI Python Engineer

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Lead/Principle Generative AI Python Engineer

Client: Trimble

Location: Italy

Job Category: Other

EU work permit required: Yes

Job Reference: 89049cb06698

Job Views: 4

Posted:

Expiry Date:

Job Description:

Transporeon is a SaaS company founded in 2000 in Ulm, Germany, providing logistics solutions across various areas including:

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

It has grown significantly, 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/Principle 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, build solutions to meet functional requirements, collaborate across global teams, and leverage agile methodologies. Your work will 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

• 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: Use observability services such as Datadog and Databricks for LLM observability and analytics.
• Keep track of latest research: Stay updated on advancements in fine-tuning, RLHF, and prompt engineering, including DSPy.
• System Design & Architecture: Translate high-level product requirements into scalable, modular designs following modern principles, microservices architecture, and cloud-native practices.
• Testing & Integration: Develop comprehensive test suites and perform integration, bug fixing, and quality assurance.
• Collaboration & Mentorship: Work with cross-functional teams and mentor junior engineers in LLM-based solutions.
• Agile Delivery: Plan and execute sprints, meet deadlines, and handle production issues across time zones.
• CI/CD & Version Control: Use CI/CD pipelines (like GitHub Actions) and maintain code in GitHub for releases.

Key Result Area

• LLM Solutions Delivery: Launch production-ready LLM applications on schedule.
• Quality & Automation: Achieve high-quality daily releases with extensive automated testing.
• Risk Management & Reporting: Identify risks, communicate effectively, and report progress and metrics.

Skillsets

• Strong proficiency in Python
• Minimum 6 months experience with GenAI applications
• Strong communication skills for global teamwork
• Leadership and mentoring abilities
• Experience with cloud platforms (Azure, AWS)
• Knowledge of microservices, Docker, Kubernetes
• Experience with RESTful APIs
• Understanding of databases (NoSQL, PostgreSQL)
• Proficiency with Git and version control
• Experience with CI/CD tools like GitHub Actions
• Problem-solving and analytical skills
• Familiarity with Agile methodologies
• Risk assessment and mitigation skills

Qualifications & Experience

• 8 to 15 years of engineering experience in a tier-1 organization
• Strong proficiency in Python
• At least 6 months experience with GenAI
• Graduated from a premier institute in CS Engineering
• Achievements such as Olympiads, open-source contributions, etc., are a plus

Job Location

Remote role