Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.
They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here.
What You’ll Work On
- Designing and shipping ML components end-to-end : training pipelines, data ingestion, evaluation, optimization, and deployment
- Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights
- Transforming research concepts into scalable production systems used by enterprise customers
- Architecting efficient, privacy-conscious model-serving infrastructure
- Collaborating across engineering, product, and research to rapidly experiment and iterate
- Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter
Who Thrives Here
Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systemsCandidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML / AI featuresPeople who enjoy working in ambiguous, zero-to-one environments and want significant ownershipCurious thinkers who care about model performance, reliability, and how their work impacts real usersBonus skills (not required) : experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scaleWhy This Role Is Compelling
You’ll build foundational AI systems at a moment where the company is scaling quicklyYour work will directly shape how customers interact with and benefit from AIYou’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinkingYou’ll have room to experiment, influence architecture, and meaningfully impact technical directionYou’ll join early enough to feel the upside, but after core customer traction is already provenWhat's On Offer
A high-ownership engineering role with scope to grow into senior or staff pathwaysA culture that balances speed with thoughtful engineeringMission-driven work with clear real-world utilityCompetitive compensation, strong equity, and flexibility in how you buildIf you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.