Generative AI Lead/Staff Python Engineer

1 week ago

Tallinn, Harjumaa, Estonia Trimble Inc. Full time €90,000 - €120,000 per year
  • Buying & selling of logistics services
  • Organizing shipment execution
  • Organizing dock, yard, truck, and driver schedules
  • Invoice auditing for logistics services

Generative AI Lead/Principal Python Engineers

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., 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: 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 fine-tuning, RLHF, and prompt engineering advancements such as DSPy.
  • 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 (unit, integration, and end-to-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 cross-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 (GitHub Actions or similar) and maintain code versioning in GitHub for seamless, frequent releases.

Key Result Area...

LLM Solutions Delivery:

Quality & Automation:

Risk Management & Reporting:

Needed Skillsets...
  • Strong proficiency in Python programming language
  • Minimum 6 months experience working with GenAI applications in production environment
  • Strong communication skills since we work with a global team
  • 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., NoSQL, PostgreSQL)
  • Proficiency with Git for version control
  • Version Control Systems (GitHub, managing code changes and collaborating with other team members, maintaining a history of code revisions)
  • Continuous Integration/Continuous Deployment (tools like GitHub 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 (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)
  • Leadership and Mentoring (guiding and mentoring other engineers, providing technical expertise)

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