AI Software Engineer

Confidential; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Confidential in San Francisco seeks a hands-on product engineer to design and ship AI-powered enterprise features, integrating LangGraph, Mastra, and OpenAI Agents SDK into real-world workflows. You will own features from concept to production, collaborate with founders, and balance product quality with development speed while ensuring reliability in complex environments.

Required: 2–4 years full-stack experience, TypeScript and React proficiency, and ability to work across frontend and backend

Qualifications

• 2–4 years of full-stack product engineering experience, ideally within a startup environment.
• Strong proficiency in TypeScript and React.
• Demonstrated experience building and shipping full-stack products or production features.
• Ability to work across frontend and backend systems rather than specialising exclusively in one layer.

Responsibilities

• Design, build, and deploy production-ready AI agents that automate complex enterprise workflows.
• Integrate AI models into enterprise applications and production workflows.
• Own features from concept through production release and iteration.
• Collaborate with founders and team to translate customer requirements into practical technical solutions.

Skills

TypeScript

React

Full-stack

Cross-layer

Tools

LangGraph

Mastra

OpenAI Agents SDK

Job description

• Design, build, and deploy production-ready AI agents that automate complex enterprise workflows.
• Develop intelligent systems for quoting, pricing, product recommendations, and cross-selling.
• Integrate large language models from providers such as OpenAI, Anthropic, and Google Gemini into real-world applications.
• Build reliable agentic workflows that can reason through multi-step tasks, interact with external systems, and produce useful business outcomes.
• Evaluate and improve agent performance, reliability, and usability in production environments.
• Build and ship end-to-end product features using TypeScript, React, and Next.js.
• Develop responsive frontend interfaces and scalable backend services.
• Own features from initial design and implementation through testing, deployment, and iteration.
• Make sound technical decisions while balancing product quality, development speed, and maintainability.
• Collaborate with the team to identify customer problems and translate them into practical software solutions.
• Integrate AI-powered applications with enterprise resource planning systems, including SAP.
• Build workflows that connect AI agents with existing enterprise data, business rules, and operational processes.
• Handle complex integrations involving product configurations, inventory, pricing, freight, tariffs, and customer information.
• Ensure AI-powered features operate reliably within established enterprise software environments.
• Contribute to data residency, infrastructure, and deployment requirements for international customers.
• Build systems that meet enterprise expectations for reliability, security, and operational performance.
• Help resolve technical challenges associated with deploying AI applications in complex customer environments.

5. Product Ownership & Iteration

• Take ownership of product features from concept through production release.
• Work closely with the founders and other team members to understand customer requirements and prioritise product improvements.
• Translate customer feedback into actionable technical solutions.
• Iterate quickly, test new ideas, and improve product capabilities based on real-world usage.
• Contribute to technical architecture and engineering decisions as the company scales.
• Stay current with emerging AI models, agentic frameworks, coding assistants, and software engineering techniques.
• Experiment with AI-native development workflows to accelerate implementation and improve productivity.
• Evaluate new tools and approaches beyond those currently used in the role.
• Contribute to a culture of technical curiosity, rapid learning, and high-quality execution.

Requirements:

• Approximately 2–4 years of full-stack product engineering experience, ideally within a startup environment.
• Strong proficiency in TypeScript and React.
• Demonstrated experience building and shipping full-stack products or production features.
• Ability to work across frontend and backend systems rather than specialising exclusively in one layer.
• Strong software engineering fundamentals, problem-solving ability, and attention to product quality.

2. Hands-On AI Systems Development

• Direct experience building or deeply integrating AI systems and agentic products.
• Experience must extend beyond using ChatGPT or Claude with custom prompts, skills, or basic wrappers.
• Demonstrated ability to integrate AI models into functional applications and production workflows.
• Experience designing, implementing, or maintaining multi-step AI-powered processes.

3. Agentic Framework Experience

• Hands-on experience building projects using an agentic framework or harness, such as:

LangGraph

Mastra

OpenAI Agents SDK

• Understanding of how to structure agent workflows, integrate tools, manage execution, and handle multi-step tasks.
• Demonstrates genuine interest in AI engineering and actively follows new tools, techniques, and developments beyond immediate job requirements.
• Willingness to experiment with emerging models and frameworks and apply them to practical engineering problems.
• Strong learning agility and the ability to operate effectively in a rapidly evolving technical environment.