engineering
Posted 1 weeks agoForward Deployed Engineer
at NanoNets
Palo Alto, United StatesHybrid
Responsibilities
- Maintain and prioritize backlogs across multiple customer accounts.
- Plan and communicate project timelines using structured documentation (project plans, trackers, presentations).
- Ensure end‑to‑end testing and validation of workflows before customer release.
- Built and/or delivered prototypes on top of our API platform.
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
Requirements
- Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes.
- Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
- We are seeking a technically proficient, business-minded Forward Deployed Engineer to help push the frontier of advanced AI with our strategic startup customers.
- You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform.
- You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally.
- experience as a software engineer, ML engineer or equivalent, ideally in a startup environment;
- Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
Experience
- Requirements and Skills 5+ years of
Benefits
- In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation.