Founding Context Engineer at Deepline (New York, NY)
Deepline· New York, NY·
Role details
Job description
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 LLMs. That 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 – we’re replacing this need.
We’re a small team bringing decades of data experience from Uber, Lyft, and MIT. We’re dedicated to truthseeking conversation, shipping speed, and building magical user experiences.
Role
We’re seeking a Founding Full Stack Engineer to help us build agents that give every business operator access to internal data.
You’ll 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 you’ll 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: We’re building to solve information access at your fingertips - and solving the thorny enterprise context problems blocking this today. The growth potential is immense; and we’re 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, we've 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: You’ll be building frontier multi-agent systems tackling engineering challenges that could fundamentally transform how knowledge work is done.
What we’re 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
We’re excited to work with engineers who’ve 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? We’d love to chat - send a resume/linkedin and a note to team@deepline.com
Why work at Deepline
- Early-stage ownership: New hires join as engineer #5-6 with direct collaboration with founders and customers; every role is a "founding" role with broad scope.
- Compensation: $140K–220K base + meaningful equity for engineering roles (per Founding Full-Stack Engineer posting); contract-to-hire options for some roles.
- Work environment: In-person in NYC with quarterly off-sites; company describes itself as "remote-friendly with a strong NYC hub" but current open roles are listed as In Office / In-Person (NYC).
- Engineering culture: Ship multiple times per day, small reversible changes over quarterly launches; "first-principles debate" encouraged; docs, changelogs, and eval results written for the reader; decisions made by the people closest to the GTM problem ("no theatrical reviews").
- Direct hiring process: Apply directly through the Gem-hosted careers page — no recruiter middleman.
- High-intensity, customer-facing work: Forward-deployed roles involve live customer sessions, building solutions on sales calls, and seeing production impact at scale — suited to engineers who enjoy visible, immediate results.