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Unframe is an AI-first startup helping Fortune 500 enterprises deploy LLM-powered applications in days rather than months. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, the company combines product-company speed with consultancy flexibility to accelerate enterprise AI adoption.
You will join as an AI Engineer in a highly autonomous, hands-on role focused on transforming how Unframe operates internally through AI and automation. This is not a typical engineering position—you'll work across the entire organization to identify inefficiencies, rethink complex processes, and design AI-powered systems that drive operational change.
Key responsibilities include:
- Analyze and transform end-to-end workflows across departments, identifying opportunities for AI-driven automation.
- Design and build sophisticated AI agents, multi-agent systems, and automation workflows.
- Lead complex, cross-functional initiatives spanning multiple teams, platforms, and business processes.
- Integrate AI solutions with internal systems, APIs, databases, and development tools.
- Own initiatives end-to-end—from problem discovery and architecture through hands-on implementation, deployment, and adoption.
- Build reusable AI capabilities and infrastructure that scale across the organization.
- Challenge existing processes, drive innovation, and deliver measurable improvements in efficiency and productivity.
This role requires someone with exceptional systems thinking who can understand complex processes, connect dots across the organization, and turn ambiguous cross-organizational challenges into working solutions. You'll have real ownership from day one, the opportunity to learn alongside founders and VPs, and the chance to shape what comes next in AI automation.
**Requirements:**
- 5+ years of software engineering experience, including building complex, production-grade systems.
- 2+ years of hands-on experience building AI-powered applications, agents, and automation workflows.
- Exceptional systems thinking and the ability to understand complex processes and see the bigger picture.
- Strong ownership and independence; capable of turning ambiguous challenges into working solutions.
- Strong proficiency in Node.js / TypeScript and backend system architecture.
- Deep experience with agentic AI, including tool calling, orchestration, context management, and multi-agent systems.
- Familiarity with frameworks and protocols such as LangGraph, Google ADK, CrewAI, MCP, and AI evaluation and observability tools.
- Hands-on experience with AI-native coding tools such as Claude Code, Cursor, or Codex.
- Strong business and product mindset with excellent communication skills and ability to work across technical and non-technical teams.
