The impact you will create:

• Build Agentic Workflows: Design and deploy scalable, cost-efficient, and highly accurate AI workflows from the ground up.
• Drive Data Transformation: Engineer systems to extract, transform, and classify complex external data in strict alignment with legal frameworks, regulations, and business rules.
• Own the Architecture: Take complete end-to-end ownership of your projects, independently implementing individual workflow steps or entire automated systems with a relentless focus on architectural excellence and clean code.
• Lead Global Rollouts: Autonomously scale and deploy these GenAI solutions to new countries and markets.

Partner with Stakeholders: Act as the technical bridge, driving communication with stakeholders to translate complex business needs into precise technical requirements.

Experience and skills you will need:

• Core Software Engineering: Strong proficiency in Python and modern engineering practices, specifically async programming, FastAPI, and clean code principles.
• GenAI Expertise: Proven, hands-on experience building, optimizing, and deploying generative AI and LLM applications.
• Eval-Driven Development: A solid grasp of data science fundamentals applied to AI, focusing on systematic LLM evaluation, dataset curation, and performance metrics.
• DevOps & Infrastructure: Deep understanding of CI/CD pipelines, containerization, deployment strategies, and secure secret management.
• LLMOps & Observability: Practical experience using tools like MLflow to monitor, track, and maintain system health in production.
• Enabler Mindset: A proactive approach to mentoring peers, sharing knowledge, and establishing robust engineering standards across the team.
• Bonus Qualifications (Desirable): Prior experience working with Pydantic AI, Google Cloud Platform (GCP), and StackIT.