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Unframe is an AI-first startup helping enterprises deploy LLM-powered applications at scale. 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.
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—designing and building capabilities that enable enterprise customers to move from concept to deployed systems in days rather than months.
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 closely with product, engineering, and research teams in a fast-paced environment
- Taking ownership of features from conception through production deployment
You'll join a team scaling alongside Fortune 500 customers, working directly with founders and VPs in a space that evolves weekly. The role offers real ownership, rapid learning, and the opportunity to shape the direction of enterprise AI infrastructure.
REQUIREMENTS:
- 7+ years of hands-on full-stack development experience
- Strong experience with React/Vue, TypeScript, and Python
- Demonstrated experience working with LLM APIs (Claude, Gemini, OpenAI) and AI agent development
- Experience with AWS, GCP, Kubernetes, PostgreSQL, Terraform, Airflow (MWAA), or EMR
- Product mindset with proven ability to build scalable, production-ready systems
- Experience thriving in fast-paced startup environments
- Strong communication skills and ability to operate in ambiguous environments
NICE TO HAVE:
- Engineering management experience alongside strong individual contributor background
- Harness engineering experience
- Experience building security-sensitive infrastructure (sandboxing, workload isolation, credential management, access control)
- Experience deploying LLM or AI agent systems in enterprise or regulated environments
