AI Engineer
Core
Construct agentic AI architecture leveraging large language models to orchestrate planning, execution, and tool interactions with minimal supervision.
Role type
Senior IC backend software engineer (agentic AI infrastructure)
Builds
Core foundational infrastructure for agentic systems, including microservices, integration protocols, state management, and eval harnesses
Domain
SaaS / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Backend infrastructure design, LLM mechanics, distributed systems, algorithmic problem-solving, system diagnostics, automated testing, CI/CD, technical documentation
Preferred skills
Model Context Protocol (MCP), vector databases, RAG pipelines, cloud infrastructure, containerization, GenAI security paradigms
Technologies
REST/gRPC, relational/non-relational databases, message queues, OpenTelemetry, Docker/Kubernetes, Git
Responsibilities
Architect and maintain agent infrastructure including orchestration logic and session handling; Design robust tool integrations and MCP servers; Implement end-to-end tracing and observability for model calls; Construct evaluation suites and regression tests; Perform root cause analysis on runtime failures; Enforce runtime guardrails and output validation schemas
Seniority
Senior, hands-on IC