Applied AI Engineer

2 hours, 9 minutes ago
Mid Level
Software Development

Unframe Inc.

An enterprise AI platform / Managed AI Delivery Platform that turns business needs into production-ready AI solutions built from modular components, with governance, security, compliance, and workflow automation built in.

Technology, Information and Internet
51-200
Founded 2024
$50M raised

Description

  • 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 identify and surface platform-level improvements.
  • Translate business problems into AI-driven solutions for customers.
  • Hands-on with AI workflows and production applications.
  • Collaborate closely with customers and internal teams on solution delivery.
  • Help bridge the gap between model capabilities and real-world impact.
  • Build and iterate on prompt design, evaluation, and related workflows.

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 building pipelines for structured and unstructured data, including vector databases and retrieval-augmented generation (RAG)-like architectures.
  • 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.
  • Master’s degree or PhD in AI, Computer Science, or a related technical field (preferred).
  • Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or Google ADK, and patterns like ReAct, self-reflection, and hierarchical delegation (preferred).
  • Knowledge of LLM-native metrics and techniques for optimizing state management and granular tracing (preferred).
  • Background in data pipelines, APIs, or system integrations (preferred).
  • Experience working with enterprise or B2B customers (preferred).
  • Experience working in fast-paced startup environments (preferred).

Benefits

  • Real ownership from day one.
  • Opportunity to drive decisions and shape ideas into working solutions.
  • Learn alongside founders and VPs in a fast-moving environment.
  • Opportunity to build what comes next.

Interested in this position?

Apply directly on the company website

Apply Now

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