Build and deliver production‑ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices.
Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code.
Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines.
Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required.
Lead evaluation and iteration cycles, including defining and tracking offline and online metrics.
Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods.
Collaborate closely with Product using a working‑backwards approach.
Improve internal AI development tooling.
Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards.

Proven experience in shipping production‑grade AI solutions.
Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies.
Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js.
Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling.
Hands‑on experience with leading LLM providers such as Anthropic, Claude and OpenAI.
Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex.
Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design.
Solid understanding of ML fundamentals and experimentation, including metric design, error analysis.
A strong security and governance mindset, with the ability to communicate clearly

Online interview with the Talent Partner and the Director of AI Engineering
Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product
Commitment to an inclusive and accessible recruitment process
Environment where everyone can thrive, feel supported, and contribute to the mission

AI Engineer

Key skills