- Design, build, and deploy AI agents that automate complex multi-step workflows using LLMs (Claude, GPT-4, Gemini) and tool-use frameworks

- Architect and implement full-stack features Node.js / Python backends, REST/GraphQL APIs, React/Next.js frontends from scratch to production

- Build and manage MCP (Model Context Protocol) servers and agentic integrations with third-party services (Slack, Gmail, CRMs, databases)

- Design reliable prompt pipelines with structured outputs, tool calling, RAG, and memory systems

- Instrument and iterate on agent behavior: evaluate output quality, reducehallucinations, optimize token cost, and improve latency

- Integrate AI capabilities into existing product surfaces chat interfaces, dashboards, automation triggers

- Work closely with product and operations stakeholders to translate business logic into agentic workflows

- Own DevOps for your services: containerization, CI/CD, cloud deployment (AWS / GCP), monitoring and alerting