Generative AI Engineer

We are looking for a Generative AI Engineer to lead our AI efforts end-to-end - from infrastructure and production systems to internal adoption and cross-team enablement.You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...).This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center.About You:You are a great human being and youre all into teamwork. you care about how people will feel inside the organization and set high standard for culture, professionalism and maturity.A Doer, hands-on, biased for action and not taking an advisory role. Know how to translate challenges into actions.

Able to work both individually and manage multiple priorities while driving others around you for action.You're a fast learner, jack of all trades, feel comfortable in a fast paced, ever-changing environment. You can break down complex problems into steps and plot clearly how to get from A to Z while having the ability to zoom out and see the bigger picture.You are an experienced hands on engineer, with proven experience with Developing LLM based products, with a real passion to AI and LLM, eager to learn about very new model and technology in this domain, and have a real understanding of the AI ecosystemRequirements: ~1+ year experience with Generative AI / LLMs5+ years experience with Backend engineeringExperience shipping GenAI features to productionStrong hands on, production grade backend/software engineering skills (Python preferred)Experience with major AI providers (OpenAI, Anthropic, Google)Prompt engineering and LLM behavior knowledgeUnderstanding Agents / multi-step workflowsExperience with AI frameworks (LangChain, LangGraph, etc.)Familiarity with embeddings / vector databasesExcellent problem-solving skills with demonstrated success in fast-paced environments.Bonus:MLOps / model deployment experienceEvaluation, monitoring, and guardrailsFine-tuning or model customizationRAG systems (Retrieval-Augmented Generation)Building retrieval pipelines and grounding LLM outputsThis position is open to all candidates.