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Unframe is an AI-first startup enabling Fortune 500 enterprises to deploy LLM-powered applications rapidly. The company has secured over $100M in TCV within 12 months and recently closed a $50M Series B led by Highland Europe, backed by Bessemer, Craft, and TLV Partners.
As a Senior Software Engineer, you will own end-to-end product features for Unframe's AI Agent platform for IT Service Management. You'll work across the full stack—frontend, backend, and AI agents—collaborating closely with product, engineering, and research teams to deliver enterprise-grade AI capabilities.
Key responsibilities include:
- Building and scaling full-stack features across React/Vue frontends, Python/TypeScript backends, and AI agent systems
- Developing AI agents using Claude, Gemini, and OpenAI APIs with focus on reliability and cost efficiency
- Designing scalable agent workflows leveraging context management, prompt caching, and tool use patterns
- Defining engineering standards and contributing to architecture decisions
- Collaborating with cross-functional teams in a fast-paced startup environment
The role emphasizes real ownership from day one, opportunity to shape product direction, and learning alongside founders and VPs in a rapidly evolving AI space.
REQUIREMENTS:
- 7+ years of hands-on full-stack development experience
- Strong proficiency with React/Vue, TypeScript, and Python
- Demonstrated experience working with LLM APIs (Claude, Gemini, OpenAI) and AI agent development
- Experience with cloud infrastructure: AWS, GCP, Kubernetes, PostgreSQL, Terraform, Airflow (MWAA), or EMR
- Product mindset with track record building scalable, production-ready systems
- Experience thriving in fast-paced startup environments
- Strong communication skills and ability to operate in ambiguous contexts
NICE TO HAVE:
- Engineering management experience alongside strong individual contributor background
- Harness engineering experience
- Security-sensitive infrastructure experience (sandboxing, workload isolation, credential management, access control)
- Experience deploying LLM or AI agent systems in enterprise or regulated environments
