Pioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)
Core
Design and develop AI-powered productivity tools and LLM-powered applications for internal engineering teams to improve software development workflows.
Role type
Applied AI Agent/AI Productivity Engineer
Builds
Coding assistants, knowledge retrieval systems, developer tools, workflow automation, and AI Agent workflows
Domain
Blockchain / Web3 / Software Engineering
Deliverable
production ML models | product features
Required skills
Python, Java, Go, JavaScript/TypeScript, API integration, system design, debugging, testing, LLM-powered application development, LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management, AI evaluation, backend development, full-stack development
Preferred skills
AI productivity tools development, AI Agent frameworks, Agent memory, tool orchestration, multi-agent systems, DevOps, CI/CD, cloud infrastructure, engineering automation, LangChain, Claude Agent SDK, open-source contributions
Responsibilities
Design and develop AI-powered productivity tools for internal engineering teams; Build and integrate LLM-powered applications for real-world engineering use cases; Develop AI Agent workflows and supporting infrastructure; Integrate AI capabilities into the software development lifecycle; Work closely with engineering teams to identify bottlenecks and translate them into practical AI-driven solutions; Apply approaches such as Prompt Engineering, RAG, AI Agents and MCP/tool calling; Own projects end-to-end from problem definition to deployment and iteration
Seniority
Mid-level (1–5 years experience)
