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.

We offer*:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers