Responsibilities

Build production-grade software across backend services, APIs, web applications, workflow systems, AI agents, enterprise integrations, and automation platforms.
Architect and implement AI-native capabilities using LLMs, prompting, tool calling, agent orchestration, RAG, vector search, knowledge graphs, embeddings, and structured/unstructured enterprise data.
Use AI coding platforms such as Cursor, Claude Code, and similar tools as a core part of your development workflow.
Write high-quality prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI experiences.
Own features from concept through delivery, including customer discovery, technical design, implementation, manual validation, release, bug resolution, and iteration.
Work directly with customers, GTM, product, and other engineers to identify high-value problems and translate them into product capabilities.
Make pragmatic tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact.
Manually validate AI and product behavior with care, especially where automated tests and evals are insufficient for probabilistic systems.
Respond rapidly and transparently to bugs, regressions, and customer-impacting issues.
Collaborate through paired development, design discussion, code review, debugging, and direct technical debate.

Requirements

Strong software engineering fundamentals across backend, full-stack, distributed systems, APIs, or product engineering.
Hands-on experience building AI-enabled product capabilities with LLMs, RAG, vector databases, embeddings, agents, workflow automation, knowledge systems, or related technologies.
Strong practical prompting skills, including prompt iteration, context design, tool-use instructions, structured outputs, and failure-mode analysis.
High proficiency with modern AI development tools such as Cursor, Claude Code, ChatGPT, or similar platforms.
Ability to architect and build agent systems that can reason, retrieve context, call tools, execute actions, handle errors, and operate safely in enterprise environments.
High agency, extreme ownership, high velocity, customer curiosity, and product judgment.
Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles.