We're looking for a backend-leaning fullstack dev. You will be one of the first engineers outside of the founding team. Here is a bit more about us: We're a seed stage AI startup backed by top tier investors. We're on a mission to ensure every patient gets covered for the care they need and every doctor gets paid for the work they do.
We’re building deep, vertically integrated technology systems to solve fundamental problems in US healthcare - the biggest market in the world ($5T). We use AWS, K8s, React, and Rust but there is no requirement to have prior experience with them specifically. We'll teach you!
We are a founding team made up of ex-YC, Amazon, Meta, Microsoft, and Harvard Business School with previous successful exits.
You’ll own entire product areas and be expected to play a true full-stack role, with the ability to go from customer need to end-state product. You’ll work directly with the CTO at the edge of what's possible with LLMs and agentic systems applied to a hard domain. You'll contribute to technical strategy, make real architectural decisions, and write vast amounts of production code with AI first developer workflows. Most importantly, the technology you build will have real impact on real people - clinics staying open, clinicians getting paid, patients getting care.
This is an opportunity to work in a fast paced, high ownership environment while solving real problems in healthcare.
We're happy to share more details on the role in person/on zoom. Please fill out this form if interested!
Ambito is a CRM-connected QBR generator for B2B sales teams. The product is live, with the sales module, template engine, and CRM integrations already built.
We're looking for a founding AI engineer to make the product significantly smarter and broader. This is an equity-only role initially (10+ hrs/week), working directly with the founders and our existing technical partner.
You'll work on:
AI product features: Build a native assistant that can answer questions about customer data, surface trends, provide setup guidance, and help generate QBRs. Retrieval, tool use, structured-data queries, evals, and cost control.
Customer Success: Extend the existing framework into account reviews, renewals, and customer health.
Integrations: Harden and expand CRM/CS integrations (Salesforce, HubSpot, etc.).
Product: Make the overall experience faster, simpler, and more AI-native where it actually helps.
We're looking for someone who has shipped LLM features in production, not just demos, and is comfortable with retrieval, embeddings, tool calling, agent workflows, and evaluation. You should also be able to work across React, TypeScript, and Node (Firebase experience is a plus).
You should think like a product engineer: turn varied customer requests into simple, flexible systems and work independently. Sales tech / RevOps / CS experience is a plus. Boston/MA is a plus.
To apply: Send a short note with something you've built using AI and why this problem interests you. No cover letter. LinkedIn or contact@ambito.io.
Rinse provides dry cleaning and laundry delivery services to customers in twelve metropolitan areas in the US and Canada. We have sophisticated logistics optimization software, a polished consumer product, and firm business fundamentals. We're now over a decade old - this is a stable, yet consistently growing and innovating, company.
Our engineering team is distributed across the United States and internationally, and has been entirely remote for years now, but a desk can be provided in the above cities if you'd prefer.
We're open to both newly-graduated engineers or more senior engineers, provided they meet our bar. We're particularly interested in true full-stack engineers, with strong React / Typescript / CSS skills to complement comfort in a Python / Django environment. We're also seeking engineers with experience leveraging AI to automate complex operational processes.
This season, we're particularly interested in new grads or junior engineers, to round out the team.
We're also looking for people with experience manipulating video data at scale, for computer vision applications. Similarly, we're interested in adding people with experience building and managing MCP services.
You will join a high-caliber team where collaboration, honesty, and open communication are at the core of everything we do.
Search term bingo: Logistics, Django, Python, Optimization, React, React Native, Postgres, Mobile Engineer, Automation, Delivery, OR-tools, Forecasting, Vision, Physical AI, MCP