Senior Applied AI Engineer
Core
Build production-grade, full-stack applications and APIs for internal business teams, embedding AI-agentified capabilities and LLM-powered features into these platforms.
Role type
Senior Applied AI Engineer (Full-Stack)
Builds
Full-stack web applications, REST APIs, and distributed systems for internal business stakeholders.
Domain
Enterprise Software, Applied AI, Distributed Systems
Deliverable
production ML models
Required skills
Full-stack development, Python, React/Next.js, PostgreSQL/MySQL/MongoDB, AI-agent frameworks (LangChain/LangGraph), Tool/function-calling for LLMs, Distributed systems design, Reliability engineering, Observability
Preferred skills
API documentation (Swagger/OpenAPI), DevOps (Docker/CI/CD), Cloud-native development (AWS/Azure/GCP), Modern web app tooling (Tailwind/MUI/Redux)
Technologies
Python, React, Next.js, FastAPI, LangChain, LangGraph, PostgreSQL, MongoDB, Docker, AWS, Azure, GCP
Responsibilities
Own features end-to-end from database schema to user interface; Build full-stack web applications with responsive frontends and backend services; Design and build APIs consumed by applications and AI agents; Build and productionize AI-agentified features and agentic workflows; Architect for distributed systems concerns like scalability and fault tolerance; Apply reliability engineering practices including observability and incident response.
Seniority
Senior, hands-on IC
