Job Title: Founding Engineer (Full-Stack AI - Agents, Customer Solutions, & AI Prototyping) Company Name: Buildfunctions Job Url: https://www.simplyhired.com/job/iVyjwFQPl4zC579HDNF36En_8uds_3xZIcFoZBfBCJH3-U1E7USZPQ Job Description: Founding Engineer (Full-Stack AI - Agents, Customer Solutions, & AI Prototyping) Buildfunctions Remote Job Details Full-time Qualifications AI models GPU programming Amazon EC2 Full-stack development Agent-based models Product roadmapping Startup experience Technical documentation Software deployment Quantization Machine learning Model deployment SDKs Prototype creation Implementing APIs B2B Product demos S3 Serverless cloud services Open source contribution Senior level AI Go-to-market strategy Research & development Leadership TypeScript Prototypes Python Conducting sales calls Shell Scripting MLOps Virtual Private Clouds Route 53 AWS Lambda Full Job Description 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 designing feedback, scoring, or reward mechanisms to guide agent behavior or execution? Rate your expertise (1–10, with the 10 highest) with TypeScript. How many years of experience do you have in building agents? Work Location: Remote