Senior Software Engineer
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At a glance
Job overview
Unframe is an AI‑first startup helping large enterprises build LLM‑powered applications quickly, combining product speed with consultancy flexibility to deliver AI systems for Fortune 500 customers.
Skills & qualifications
Skills
Qualifications
Full job description
About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.
About the role:
As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
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Build and scale full-stack features across frontend, backend, and AI agents.
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Develop AI agents using Claude, Gemini, and OpenAI APIs.
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Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
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Define engineering standards and contribute to architecture decisions.
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Work closely with product, engineering, and research teams.
What we're looking for:
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7+ years of hands-on full-stack development experience.
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Strong experience with React/Vue, TypeScript, and Python.
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Experience working with LLM APIs (Claude, Gemini, OpenAI) and AI agent development.
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Experience with AWS, GCP, Kubernetes, PostgreSQL, Terraform, Airflow (MWAA), or EMR.
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Product mindset with experience building scalable, production-ready systems.
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Experience in fast-paced startup environments.
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Strong communication skills and the ability to thrive in ambiguous environments.
Nice to have:
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Engineering management experience alongside a strong individual contributor background.
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Experience with harness engineering.
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Experience building security-sensitive infrastructure (sandboxing, workload isolation, credential management, or access control).
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Experience deploying LLM or AI agent systems in enterprise or regulated environments.
Why join us?
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Real ownership from day one. Drive decisions, shape ideas and make them work.
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Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
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You'll have the opportunity to write and build what comes next.
Ready to Build the Future?
If this opportunity excites you, apply now!
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