Founding Context Engineer
Job Location:
Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Deepline
Deepline is building compilers for business logic.
While AI has changed the way we access and utilize information it has yet to do so for enterprise. The reason: necessary business context is hiding in prohibitively messy disjoint datasets - strewn across disconnected systems unlabeled painful to access for humans much less context when combined with natural language can be compiled into business processes.
The best orgs build a team of data experts to wrangle this context were replacing this need.
Were a small team bringing decades of data experience from Uber Lyft and MIT. Were dedicated to truthseeking conversation shipping speed and building magical user experiences.
Role
Were seeking a Founding Full Stack Engineer to help us build agents that give every business operator access to internal data.
Youll work closely with our founders to design new iterations of our product and ship fast.
Expect strong ownership spirited debate and novel technical challenges at the frontier of
- multi-agent systems
- A.I. powered user interfaces (chat app builders workflows)
- semantic layers
- unstructured data processing
- knowledge graphs/ontologies
What youll do
- Shape and ship new product capabilities end-to-end from backend infra to UX
- Engineer context and tools for our AI systems. Our team has solved access to clean datasets now comes the delicate science of feeding this data into LLM context.
- Design for an intimidatingly broad set of use cases: our customers have incredibly open-ended questions tactical and strategic - how do I increase revenue Which customers are struggling with my product Which competitors am I losing deals to What should I do about this
Why join now
- Solve the Last Big Problem in SaaS: Were building to solve information access at your fingertips - and solving the thorny enterprise context problems blocking this today. The growth potential is immense; and were building a team obsessed with execution to get us there.
- Make Asymmetric Bets alongside Brilliant People: Our founding team are domain experts on these problems coming from Uber Lyft and MIT - and since January weve 4xed revenue by delivering high value solutions to top tier enterprises. Joining early means real ownership in the upside you help create.
- Forget Incremental Improvements: Youll be building frontier multi-agent systems tackling engineering challenges that could fundamentally transform how knowledge work is done.
What were looking for
You may be a fit if you
- Are a self-starter and have a track record of building products from 0 1
- Enjoy both design & engineering craftsmanship - powerful/scalable systems that support delightful UX
- Savor critical feedback from customers as growth opportunities
- Embrace the latest AI dev tools (e.g. Cursor Claude Code) to build better and faster
Were excited to work with engineers whove built full-stack multi-cloud systems and are quick to learn new tools. Our stack is Typescript/Vercel Python (Pydantic/FastAPI) SQL DBT and LLMs/multi-agent systems galore.
Applying
Curious Wed love to chat - send a resume/linkedin and a note to
Required Experience:
IC
