AI Engineer

Proven experience building and deploying AI or ML systems in production at scale (not just prototypes or demos).

Deep understanding of model integration workflows — from inference pipelines to prompt engineering, fine-tuning, or RAG setups.

Strong backend engineering background (Python or Node.js preferred).

Experience designing AI architectures (e.g., hybrid retrieval systems, multi-model orchestration, or embeddings).

Experience with AWS cloud infrastructure and data pipelines.

Solid grasp of API development and system architecture for scalable applications.

Comfortable working independently and driving execution in a startup environment.

Experience integrating LLMs into production products (OpenAI, Anthropic, Vertex AI, etc.).

Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma).

Experience with observability, monitoring, and evaluation for AI systems.

Experience leading projects or mentoring engineers.

Prior experience in healthtech, biotech, or working with sensitive health data.

Remote-First Company: our working hours follow a 2 hour window from 9 am - 6 pm CST

Driven by an ambitious mission: we're reinventing how we should think about wellness from the first 1,000 days to the last

Shape what we build, not just how we build it : we prioritize experimentation with taking ownership, and moving fast

No hidden agendas : we operate with full transparency because when everyone's working from the same honest picture, you spend less time on politics and more time on impact

High standards, human culture: we hold ourselves to a high bar and do it alongside a team who can laugh at themselves and make the hard days genuinely enjoyable

Learn fast, be better What that looks like: You deliver your output when it creates value, not when it’s perfect. After, you continuously monitor it and improve it over time.

Be relentlessly resourceful What that looks like: When faced with a blocker, you map three alternative solutions, highlight your favourite, justify why, and seek quick feedback from your team.

Think like an owner What that looks like: When something needs to get done, you own it, communicate cross-functionally, and see it across the finish line.

Act with honesty and empathy What that looks like: When a colleague shares an idea that carries real risk, you challenge it in the moment and do it with kindness.

Delight people by anticipating their needs What that looks like: You put yourselves in the shoes of the customer or collaborator before presenting an idea, process, or proposal, and curate your communication to address their pain points.