We are looking for an AI Application Engineer to build AI-enabled applications, internal tools, and聽agentic workflows using modern AI coding and development platforms such as Codex, Claude聽Code, ChatGPT, Claude, Vercel, and related APIs/SDKs.聽This person will be responsible for turning business needs into working software quickly. They聽will use AI-native development tools to accelerate prototyping and production delivery, while still聽applying strong software engineering judgment around architecture, security, testing,聽maintainability, and user experience.聽This is not a research role and not a pure prompt-engineering role. It is a hands-on builder role聽for someone who can design, build, test, deploy, and iterate on AI-powered applications and聽agents.
The position requires 3-4 hours of overlap with the Pacific time zone.
Key Responsibilities:
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Build AI-powered web applications, internal tools, prototypes, and workflow automations using modern full-stack technologies.
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Develop and configure agents in platforms such as ChatGPT, Claude, and related enterprise AI environments.
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Use AI coding tools such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools to accelerate software development while maintaining quality standards.
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Build applications using frameworks and platforms such as Next.js, React, TypeScript, Node.js, Python, Vercel, APIs, databases, and cloud services.
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Integrate large language models into applications using APIs, SDKs, tool calling, function calling, retrieval, memory, structured outputs, and workflow orchestration.
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Translate business requirements into working software, including lightweight product discovery, technical design, prototyping, testing, deployment, and iteration.
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Evaluate where an AI agent, chatbot, workflow automation, or traditional application is the right solution.
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Create reusable templates, components, agent patterns, and development practices that help teams build faster.
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Partner with business stakeholders, product managers, designers, engineers, data teams, security, and legal/compliance partners as needed.
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Ensure applications and agents are secure, reliable, explainable enough for the use case, and aligned with company standards.
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Measure adoption, usability, quality, and business impact of AI-enabled solutions.
Required Qualifications:
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7+ years of software engineering experience, preferably in full-stack, product engineering, internal tools, platform engineering, or automation roles.
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Strong proficiency in TypeScript/JavaScript, especially React, Next.js, Node.js, APIs, and modern聽frontend/backend development.
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Working knowledge of Python for scripting, automation, API integrations, data handling, or agent聽workflows.
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Experience building and deploying web applications using platforms such as Vercel, AWS, GCP,聽Azure, or similar cloud/deployment environments.
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Hands-on experience with generative AI tools such as ChatGPT, Claude, Codex, Claude Code,聽Cursor, GitHub Copilot, or similar AI development tools.
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Experience integrating LLMs into applications using APIs, SDKs, prompt patterns, structured聽outputs, retrieval, tool calling, or workflow automation.
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Strong software engineering fundamentals: clean code, testing, Git, code review, debugging,聽logging, documentation, security awareness, and maintainability.
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Ability to work directly with non-technical stakeholders and turn ambiguous business problems聽into working solutions.
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Strong judgment about when to use AI, when not to use AI, and how to keep a human in the loop聽for higher-risk workflows.
Preferred Qualifications:
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Experience building AI agents, custom GPTs, Claude projects, workflow agents, copilots, or enterprise AI assistants.
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Experience with Vercel AI SDK, LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, Anthropic APIs, or similar frameworks.
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Experience with retrieval-augmented generation, vector databases, embeddings, search, knowledge bases, and enterprise data integrations.
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Experience building internal productivity tools, employee-facing workflows, operations tools, or聽business process automation.
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Experience with authentication, permissions, secure data handling, audit logging, and enterprise deployment patterns.
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Experience designing lightweight user experiences for AI tools, including chat interfaces, agent聽dashboards, task flows, and approval workflows.
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Comfortable working in fast-moving, prototype-to-production environments.
We offer:*
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Flexible working format - remote, office-based or flexible
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A competitive salary and good compensation package
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Personalized career growth
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Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
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Active tech communities with regular knowledge sharing
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Education reimbursement
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Memorable anniversary presents
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Corporate events and team buildings
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Other location-specific benefits
*not applicable for freelancers