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Unframe is an AI-first startup enabling enterprises to deploy LLM-powered applications rapidly—from concept to production in days rather than months. The company has secured over $100M in TCV within 12 months and recently closed a $50M Series B led by Highland Europe, with backing from Bessemer, Craft, and TLV Partners.
As a Senior Software Engineer, you will own end-to-end product features for Unframe's AI Agent platform focused on IT Service Management. You'll work across the full stack—frontend, backend, and AI agents—collaborating with product, engineering, and research teams to deliver enterprise-grade AI capabilities.
Key responsibilities include:
- Building and scaling full-stack features using modern web frameworks and cloud infrastructure
- Developing AI agents leveraging Claude, Gemini, and OpenAI APIs
- Designing reliable, scalable, and cost-efficient agent workflows with context management, prompt caching, and tool use
- Contributing to engineering standards and architecture decisions
- Collaborating closely with cross-functional teams in a fast-paced environment
You bring 7+ years of hands-on full-stack development experience with strong proficiency in React/Vue, TypeScript, and Python. You have practical experience with LLM APIs and AI agent development, plus familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes), databases (PostgreSQL), infrastructure-as-code (Terraform), and data orchestration (Airflow/MWAA, EMR). You thrive in startup environments, have a product mindset, and excel at building scalable, production-ready systems with strong communication skills.
Nice-to-have qualifications include engineering management experience alongside IC contributions, harness engineering expertise, experience with security-sensitive infrastructure (sandboxing, workload isolation, credential management), and prior experience deploying LLM/AI systems in enterprise or regulated environments.
You'll have real ownership from day one, the opportunity to learn alongside founders and VPs in a rapidly evolving space, and the chance to shape the future of enterprise AI.
