Company:
Buildfunctions provides a simple solution to serverless computing, enabling developers to build, deploy, and scale serverless functions designed for AI at a rapid pace — all without worrying about infrastructure or servers.
Role:
We are seeking visionary Founding Engineers to join our core team.
This is an equity-based role with the potential for a salary upon successful fundraising.
We’re looking for individuals with deep technical expertise and a proven track record of building serverless compute products — engineers who excel in fast-paced startup environments and are driven to shape the future of AI compute.
This role drives innovation across our platform by developing real-world AI/ML applications, advancing product R&D, helping shape our long-term AI vision, and serving as a trusted partner to B2B customers who are building and optimizing AI.
Responsibilities:
- Build customer-facing AI prototypes and reference applications, including end-to-end examples that demonstrate how to run real workloads on the platform (e.g., agents, sandboxing, reward functions, pipelines, and multi-model workflows).
- Serve as a forward-deployed engineer and trusted technical advisor for B2B customers, helping them design, prototype, and optimize AI systems using the platform’s compute and interfaces.
- Develop and maintain curated example projects, open-source repos, and demos used for marketing, sales, onboarding, and technical validation during sales cycles.
- Design and implement complex agent-based systems, including multi-step workflows, tool-using agents, parallel execution, and orchestration across models and services.
- Collaborate closely with the SDK and platform teams, providing feedback from real customer use cases to improve APIs, abstractions, and developer ergonomics.
- Advance internal AI R&D, exploring the latest models, new architectures, new patterns in agent design, reinforcement learning, inference optimization, and multi-model execution that inform the long-term product roadmap.
- Help shape GTM strategy through technical credibility, participating in sales calls, technical deep dives, and proof-of-concept engagements where AI expertise is required to close deals.
- Translate cutting-edge AI techniques into practical, production-ready systems, with a focus on reliability, optimization, cost efficiency, and performance on GPU infrastructure.
Qualifications:
- Deep experience with AI model deployment, inference optimization, and GPU workloads, including practical tradeoffs around latency, throughput, batching, and cost.
- Proven expertise in building complex, multi-step agents and full-stack AI applications.
- Hands-on experience with agent sandboxing and safe execution, including designing systems that constrain or validate untrusted, LLM actions.
- Strong proficiency in Python, with experience using TypeScript to build agent orchestration layers and supporting services. Experience with Mojo is a plus.
- Experience in AI/ML R&D, including reinforcement learning concepts and modern reward function design for agent systems.
- Comfort working across the stack, from model logic and orchestration to APIs, SDK usage, and deployment environments.
- A passion for creating compelling demos, documentation, and technical content showcasing cutting-edge AI.
Industry Insight:
AI and machine learning are advancing at an unprecedented speed. We are looking for someone ready to move quickly, as there are excellent industry opportunities happening in the near future.
Compensation:
Equity stake based on experience, contributions, and other factors. Details will be shared during interviews. Salaried positions are expected once funding is secured.
Apply Now:
If you're an experienced builder with a strong vision for the future of serverless computing and AI, then we invite you to connect with us!
United States
