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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 total contract value within 12 months and recently closed a $50M Series B led by Highland Europe, backed by Bessemer, Craft, and TLV Partners.
As an Applied AI Engineer, you will bridge the gap between AI model capabilities and real-world customer impact. Working closely with customers and internal platform/research teams, you'll translate business problems into production AI solutions.
Key responsibilities include:
- Implementing AI workflows and configuring model behavior for customer-specific solutions
- Building integrations between AI logic and deterministic system components
- Collaborating with platform and research teams to identify and surface platform-level improvements
- Delivering production solutions using Python, TypeScript, or similar languages
- Building data pipelines for structured and unstructured data, including vector databases and RAG-like architectures
- Designing, evaluating, and iterating on prompts and AI workflows
- Working with real-time applications and production systems at scale
Required qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field
- 4+ years in software engineering, data science, machine learning, or research (including academic experience)
- Proven experience building and delivering production solutions to customers
- Hands-on experience with data pipelines, vector databases, and retrieval-augmented generation architectures
- Ability to rapidly understand complex domains and implement research papers
- Comfort with production systems and real-time applications
Nice-to-have qualifications include a Master's or PhD in AI/CS, experience with multi-agent frameworks (LangGraph, CrewAI, Google ADK), knowledge of LLM-native metrics and optimization, background in data pipelines/APIs, enterprise B2B customer experience, and startup environment familiarity.
The role offers real ownership from day one, opportunity to learn alongside founders and VPs in a fast-moving space, and the chance to shape the future of enterprise AI deployment.
