Generative AI Staff Software Engineer Madeira

Generative AI Staff Software Engineer
Madeira
Madeira, Madeira, Portugal

Transporeon is a Saa
S 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
- edge LLM-based agentic applications. This role requires
- on expertise in frameworks such as Lang
Chain or Lang
Graph, and techniques including prompt engineering, Retrieval-Augmented Generation (RAG), and
- 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. Moreover, you will be expected to provide
- 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).
• 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
  - tuning, RLHF, and prompt engineering.
• System Design & Architecture: Translate
  - level product requirements into scalable, modular software designs.
• Testing & Integration: Develop comprehensive test suites to ensure code quality and integrate solutions across systems.
• Collaboration & Mentorship: Collaborate with
  - functional stakeholders and mentor junior engineers.
• Agile Delivery: Work in an agile environment, planning and executing sprints.
• CI/CD & Version Control: Employ CI/CD pipelines and maintain code versioning for seamless releases.

Key Result Area

• LLM Solutions Delivery: Launch
  - ready LLM-based applications on schedule.
• Quality & Automation: Achieve
  - 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.

Skillsets

• Strong proficiency in Python programming language.
• Minimum 6 months experience working with Gen
  AI applications.
• Strong communication skills for global teamwork.
• Leadership and Mentoring: Guiding and mentoring other engineers.
• Experience with cloud platforms (e. g. , Azure, AWS).
• Knowledge of microservices architecture and containerization technologies (e. g. , Docker, Kubernetes).
• Experience with RESTful APIs and API design principles.
• Understanding of database management systems (e. g. , No
  SQL, Postgre
  SQL).
• Proficiency with Git for version control.
• Continuous Integration/Continuous Deployment (CI/CD) tools like Git
  Hub Actions.
• Problem-Solving and Analytical Thinking: Ability to identify and troubleshoot complex software defects.
• Agile Methodologies: Familiarity with Agile methodologies such as Scrum or Kanban.
• Risk Assessment and Mitigation: Ability to identify and mitigate risks related to software quality.

Qualifications & Experience

• Engineering experience in a
  - 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
  - level Olympiad or talent search examination would be a valuable asset.
• Presenting a paper at a
  - level forum, contributing to
  - source projects, and participating in standards bodies would be beneficial.

Job Location

Remote role