Principle Python Engineer for Generative AI Backend Development Funchal

Principle Python Engineer for Generative AI Backend Development
Madeira
Funchal, 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: https://www.transporeon.com/en

We are looking for a Generative AI Staff Software Engineers (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. 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
- 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 (e. g. , Lang
  Chain, Lang
  Graph) 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
  - tuning, RLHF, and prompt engineering advancements such as DSPy.
• System Design & Architecture: Translate
  - level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and
  - native best practices.
• Testing & Integration: Develop comprehensive test suites (unit, integration, and
  -
  - 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
  - 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 (Git
  Hub Actions or similar) and maintain code versioning in Git
  Hub for seamless, frequent releases.
  
  

Key Result Area

• LLM Solutions Delivery: Launch
  - ready LLM-based agentic applications on schedule, ensuring quality and scalability.
• 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. Maintain transparent and timely reporting of development progress and metrics.
  
  

Skillsets

• Strong proficiency in Python programming language
• Minimum 6 months experience working with Gen
  AI applications
• Strong communication skills since we work with a global team
• Leadership and Mentoring:
• Guiding and mentoring other engineers
• Providing technical expertise
• 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
• Version Control Systems:
• Git
  Hub
• Managing code changes and collaborating with other team members
• Maintaining a history of code revisions
• Continuous Integration/Continuous Deployment (CI/CD):
• Tools like Git
  Hub 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:
• Agile methodologies such as 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
  
Qualifications & Experience


• Engineering experience in a
  - 1 organization for a period of 8 to 15 years
• Strong proficiency in Python programming language
• Minimum 6 months experience working with Gen
  AI applications
• 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 additions
  
  
Job Location

Remote role#J-18808-Ljbffr