Copy of Senior AI Application Engineer

We are looking for an AI Application Engineer to build AI-enabled applications, internal tools, and agentic workflows using modern AI coding and development platforms such as Codex, Claude Code, ChatGPT, Claude, Vercel, and related APIs/SDKs. This person will be responsible for turning business needs into working software quickly. They will use AI-native development tools to accelerate prototyping and production delivery, while still applying strong software engineering judgment around architecture, security, testing, maintainability, and user experience. This is not a research role and not a pure prompt-engineering role. It is a hands-on builder role for someone who can design, build, test, deploy, and iterate on AI-powered applications and agents.

The position requires 3-4 hours of overlap with the Pacific time zone.

Key Responsibilities:

• Build AI-powered web applications, internal tools, prototypes, and workflow automations using modern full-stack technologies.
• Develop and configure agents in platforms such as ChatGPT, Claude, and related enterprise AI environments.
• Use AI coding tools such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools to accelerate software development while maintaining quality standards.
• Build applications using frameworks and platforms such as Next.js, React, TypeScript, Node.js, Python, Vercel, APIs, databases, and cloud services.
• Integrate large language models into applications using APIs, SDKs, tool calling, function calling, retrieval, memory, structured outputs, and workflow orchestration.
• Translate business requirements into working software, including lightweight product discovery, technical design, prototyping, testing, deployment, and iteration.
• Evaluate where an AI agent, chatbot, workflow automation, or traditional application is the right solution.
• Create reusable templates, components, agent patterns, and development practices that help teams build faster.
• Partner with business stakeholders, product managers, designers, engineers, data teams, security, and legal/compliance partners as needed.
• Ensure applications and agents are secure, reliable, explainable enough for the use case, and aligned with company standards.
• Measure adoption, usability, quality, and business impact of AI-enabled solutions.

Required Qualifications:

• 7+ years of software engineering experience, preferably in full-stack, product engineering, internal tools, platform engineering, or automation roles.
• Strong proficiency in TypeScript/JavaScript, especially React, Next.js, Node.js, APIs, and modern frontend/backend development.
• Working knowledge of Python for scripting, automation, API integrations, data handling, or agent workflows.
• Experience building and deploying web applications using platforms such as Vercel, AWS, GCP, Azure, or similar cloud/deployment environments.
• Hands-on experience with generative AI tools such as ChatGPT, Claude, Codex, Claude Code, Cursor, GitHub Copilot, or similar AI development tools.
• Experience integrating LLMs into applications using APIs, SDKs, prompt patterns, structured outputs, retrieval, tool calling, or workflow automation.
• Strong software engineering fundamentals: clean code, testing, Git, code review, debugging, logging, documentation, security awareness, and maintainability.
• Ability to work directly with non-technical stakeholders and turn ambiguous business problems into working solutions.
• Strong judgment about when to use AI, when not to use AI, and how to keep a human in the loop for higher-risk workflows.

Preferred Qualifications:

• Experience building AI agents, custom GPTs, Claude projects, workflow agents, copilots, or enterprise AI assistants.
• Experience with Vercel AI SDK, LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, Anthropic APIs, or similar frameworks.
• Experience with retrieval-augmented generation, vector databases, embeddings, search, knowledge bases, and enterprise data integrations.
• Experience building internal productivity tools, employee-facing workflows, operations tools, or business process automation.
• Experience with authentication, permissions, secure data handling, audit logging, and enterprise deployment patterns.
• Experience designing lightweight user experiences for AI tools, including chat interfaces, agent dashboards, task flows, and approval workflows.
• Comfortable working in fast-moving, prototype-to-production environments.