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