The AI Application Engineer will build AI-driven applications, develop internal tools, and integrate AI solutions while ensuring quality and security throughout the process.
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
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