Forward Deployed Software Engineer, Applied AI - Frontier AI Lab

Forward Deployed Software Engineer, Applied AI - Frontier AI Lab

Location: New York, NY. In office on average 3x/week; you will split your time between working remotely and being in-office at customers’ offices.

The company is a stealth AI neo-lab building and training massively multi-agent, self-improving systems.

The company is creating the world’s most intelligent AI systems, and utilizing their technology to solve the world’s hardest and most valuable problems.

The company has raised a very large round of Series A funding from various investors including one of the leading foundation model companies, top early-stage investors, and prominent hedge fund and investment firm leaders.

The company has about 20 employees including 7 researchers and 10 engineers. The team is composed of leading researchers from OpenAI, Google DeepMind, Meta, Stanford and Oxford working alongside thousands of AI agents.

The company will pay up to $250k plus equity which could be lucrative.

Job Responsibilities:

- Serving 1-2 customers of the company at a time, taking the Research team’s developments and productizing them for those customers.

- Customers are mostly financial firms and software companies.

- Embedding with your customers, working hand-in-hand with their teams to integrate their existing data, preferences, and systems into the company's products; developing new products specifically for them; and collaborating with the Research team to inform ongoing initiatives.

- Schedules will vary, but expect steady-state of in-customer-office 3 days/week and remote the remainder; during project kickoffs it will be 5 days/week, and during other periods it may be 100% remote.

- On some customers you will be the sole FDE; on others you may be working with up to 3-5 others.

- Typically spending 80-90% of your time writing code, and the remainder talking to customers. The company runs largely async for internal matters, aside from occasional deep time together.

- Engineering will mostly be backend engineering, with Python and AI.

- Being at the absolute frontier of AI developments and deployments and serving as one of the company's earliest FDEs.

- Operating with an exceptional degree of autonomy, efficiency, and creativity

- Customers will expect you to solve their hardest problems.

Qualifications:

- Experience demonstrating an obsession with AI at every level, from the latest developments in research, models, and harnesses to Claude Code’s new features.

- Equally comfortable talking to customers as you are in front of a CLI.

- Top-tier pure engineering skills coupled with strong product sensibility.

- Rigorous, creative thinker who enjoys figuring out previously-unsolved problems.

- Strong attention to detail.

Nice to have:

- Financial industry or investing experience.

- Experience building and deploying AI systems including agent frameworks, evals, prompt management, and deployment at scale.

- Experience building complex data pipelines, especially in secure or regulated environments.

- Experience doing Forward-deployed engineering or similar roles.

- Strong in Python.

About Skyrocket Ventures

Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.

Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general.

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After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about any interview opportunities we can get you.

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