Unframe - Applied AI Engineer
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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 work with 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. • 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.
Responsibilities
• 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.
No credit card. Takes 10 seconds.