AI Engineer
Applied AI Engineer driving early‑stage AI projects in a venture studio, building end‑to‑end solutions from data pipelines to production models on AWS, with strong product instincts and system‑design expertise.
We’re a venture capital firm with an in-house venture studio, built to turn bold ideas into venture-scale startups. Beyond direct investments, we operate at zero-to-one; teaming up with operators, engineers, designers, and domain experts to validate real-world problems and build from scratch.
Over the past three years, Fund I has backed 70+ startups; not just with capital, but with hands-on support to engineer real wins across BioHealth, B2B SaaS, AI, and beyond.
We’re looking for a Applied AI Engineer with strong technical skills, product instincts, and the ability to dive into complex system design. You’ll be hands-on with multiple early-stage projects across our venture studio, helping us validate opportunities and bring AI-driven products to life.
What you’ll do
Build core modules: Develop and maintain AI-powered features and systems across our in-house venture projects.
Optimize AI systems: Improve performance through prompt engineering, retrieval-augmented generation (RAG), tool design, and scalable agent architectures.
Prototype rapidly: Validate new product ideas by shipping quick, testable prototypes that inform venture direction.
Engineer evaluation pipelines: Design automated evaluation systems to measure and improve model and product reliability.
Work full-stack: Contribute across the stack — from front-end evaluation dashboards and user-facing tools to backend systems (databases, caching, microservices).
Operate in hyperdrive: Switch contexts across multiple ventures, iterating quickly and collaborating with cross-functional founders and teams.
What we’re looking for
Strong programming fundamentals and a bias for clean, high-quality code.
Proficiency in Python and familiarity with AI/ML frameworks (e.g. LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs).
Solid backend knowledge: databases, caching, message queues, microservices.
Comfort with frontend prototyping for internal tools, dashboards, or MVPs.
Proven ability to work on zero-to-one products, ideally at startups or studios.
Strong written and verbal communication; our team is fully remote.
Experience with evaluation pipelines, vector databases, or applied ML in production.
What we’re offering
The opportunity to build multiple companies from the ground up
Deep collaboration with serial founders, designers, engineers, and investors
Remote-friendly, with flexible work hours and collaborative rituals
This is a contract role with the potential to transition into full-time employment, offering a competitive salary plus equity in the ventures you help launch
Originally posted on Himalayas
Posted June 21, 2026