jobapplier

Applied AI Engineer

Unframe

Skills

Required

  • software engineering
  • data science
  • machine learning
  • Python
  • TypeScript
  • prompt design
  • evaluation
  • iteration workflows
  • production systems

Preferred

  • LangGraph
  • CrewAI
  • Google ADK
  • ReAct
  • LLM-native
  • tokens / sec
  • cost-per-request
  • state management

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.

Responsibilities

About Unframe

  • As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.
  • Implement workflows and configure model behavior for customer solutions.
  • Build integrations between AI logic and deterministic building blocks.
  • Work with platform and research teams to surface platform-level improvements.
  • Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).
  • Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
  • Experience with prompt design, evaluation, and iteration workflows.
  • Ability to rapidly understand complex domains and read and implement research papers.
  • Comfortable working with real-time applications and production systems.

Preferred

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
  • Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Background in data pipelines, APIs, or system integrations.
  • Experience working with enterprise or B2B customers.
  • Experience working in fast-paced startup environments.

Benefits

  • Real ownership from day one. Drive decisions, shape ideas and make them work.
  • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
  • You'll have the opportunity to write and build what comes next.