Forward Deployed Engineer
BitOoda is an AI-native market infrastructure company building institutional market structure for the AI economy. It helps institutional clients source opportunities, structure transactions, and access liquidity across compute, power, and other AI supply-chain inputs.
Funding history
About BitOoda
BitOoda provides market intelligence and execution expertise for capital formation, risk transfer, and price discovery related to compute and power. Its services cover markets and derivatives, origination and structuring, hedging, and transactions involving powered land, data centers, power generation, grid assets, GPU infrastructure, and strategic infrastructure partnerships. It serves institutional buyers, sellers, developers, investors, and operators.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and ship product and platform features across the stack, including data pipelines, APIs, and user interfaces. You will develop AI- and LLM-powered tooling, embed with markets, advisory, and research stakeholders to solve real problems, own features from prototyping through production, and help shape engineering practices, architecture, and tooling.
Requirements
- Own software systems end-to-end
- Work comfortably across the full stack
- Build and deploy AI- and LLM-powered features
- Use prompt design, retrieval, agents, or model APIs
- Build working software quickly while maintaining quality
- Communicate clearly with non-engineering stakeholders
- Interest in financial markets, trading, or institutional infrastructure
Responsibilities
- Design, build, and ship core product and platform features across the stack
- Build AI-native tooling by integrating LLMs and agents into workflows
- Automate manual processes and turn market and research data into usable intelligence
- Embed with markets, advisory, and research teams to scope problems
- Translate business needs into reliable, well-instrumented systems
- Own features end-to-end from prototyping through production
- Maintain performance, correctness, and reliability
- Help shape engineering practices, architecture, and tooling