Applied AI Research Engineer
Core
Define and operationalize AI SDLC standards by experimenting with emerging AI technologies (agents, LLMs) and converting research into practical engineering guidelines for delivery teams.
Role type
Applied AI Research Engineer (IC)
Builds
Organization-wide AI SDLC standards, evaluation frameworks, and reusable engineering guidance
Domain
Software Engineering / Applied AI / AI SDLC
Deliverable
production ML models | product features | dashboards & analysis
Required skills
software engineering fundamentals, distributed systems, AI agents, LLM integration, AI system evaluation, CI/CD, observability, security/privacy awareness
Preferred skills
RAG, tool/function calling, API design, data pipelines, cloud-native development, Python/JavaScript/TypeScript/Java/.NET
Technologies
LLM APIs, AI agents, CI/CD tools, observability platforms, cloud environments
Responsibilities
Rapid prototyping of emerging AI patterns, formulating hypotheses and evaluating results against criteria, defining and evolving AI SDLC standards, assessing AI technologies and failure modes, producing documentation and recommendations for delivery teams, collaborating with AI rollout functions
Seniority
Mid-Senior, hands-on IC