Founding Engineer (Full-Stack AI - Agents, Customer Solutions, & AI Prototyping)

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! Job Type: Full-time People with a criminal record are encouraged to apply Application Question(s): • Are you comfortable working in a remote setting? • Have you worked in a fast-paced, early-stage startup environment? • Have you built or worked on applications that stream responses? • Rate your expertise (1–10, with the 10 highest) working with cloud and AWS services, including SDK, EC2, EFS, Lambda, ALB, VPC, Route 53, and IAM. • Rate your expertise (1–10, with the 10 highest) with shell scripting. • Will you be able to commit your full focus to Buildfunctions, without other jobs, once funding is achieved and a stage-appropriate salary is provided? • Will you be able to commit your full focus to Buildfunctions, without other jobs, in the near future, before funding is achieved? • Will you be able to jump in and start right away if selected for the position? • If you can’t start immediately, how many weeks would you need after the interview process is complete and you’re selected? • Do you use AI as a tool while coding in your day-to-day work? • Do you have experience leading a technical team? • Do you currently hold a visa or work authorization that requires you to maintain employment (e.g., STEM OPT, student, or temporary visas)? • How many years of experience do you have you been building agents? • How many years of experience do you have designing feedback, scoring, or reward mechanisms to guide agent behavior or execution? • Rate your expertise (1–10, with the 10 highest) with TypeScript. Work Location: Remote Apply tot his job