Informacje o stanowisku
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 shipment execution
- 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 Staff Software 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 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.
Main Responsibilities - LLM Application Development: Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs).
- 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: Stay updated on advancements in fine-tuning, RLHF, and prompt engineering.
- 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 to ensure code quality. Integrate solutions across systems, perform bug fixes, and conduct rigorous quality assurance.
- Collaboration & Mentorship: Collaborate with cross-functional stakeholders and mentor junior engineers.
- Agile Delivery: Work in an agile environment, planning and executing sprints, meeting strict deadlines.
- CI/CD & Version Control: Employ CI/CD pipelines and maintain code versioning for seamless releases.
Key Result Area - LLM Solutions Delivery: Launch production-ready LLM-based agentic applications on schedule.
- 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 communicate them to stakeholders.
Skillsets - Strong proficiency in Python programming language
- Minimum 6 months experience working with GenAI applications
- Strong communication skills
- Leadership and Mentoring: Guiding and mentoring other engineers
- Experience with cloud platforms (e.g Azure, AWS)
- Knowledge of microservices architecture and containerization technologies
- Experience with RESTful APIs
- Understanding of database management systems
- Proficiency with Git for version control
- Continuous Integration/Continuous Deployment (CI/CD) tools
- Problem-Solving and Analytical Thinking
- Agile Methodologies
- Risk Assessment and Mitigation
Qualifications & Experience - Engineering experience in a tier-1 organization for a period of 8 to 15 years
- Graduated from a premier institute
- B.Tech or M.E / M.Tech / M.S. in Computer Science Engineering
- An impressive performance in any national-level Olympiad or talent search examination would be a valuable asset
- Presenting a paper at a national-level forum and contributing to open-source projects would be beneficial.
Job Location Remote role
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