Senior AI Engineer - Fully Remote: Production LLM Agents

Logoslabs; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote work format

Paid time off and sick leave

Reduced summer hours

Job summary

INFUSE is seeking Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You’ll work across the full lifecycle from scoping with stakeholders to architecture, development, deployment, evaluation and ongoing improvement.

You will be hands-on, thinking like a product owner: define measurable success, ship to real users, and own the outcome after launch with a strong emphasis on quality, cost, and observability.

Qualifications

• 5+ years of software engineering experience with production systems.
• Proven experience building LLM-based agents or agentic workflows in production.

Responsibilities

• Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
• Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
• Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
• Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
• Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
• Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
• Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works.

Skills

LLM agents

Python

SQL

TypeScript/Node.js

AWS

Docker

CI/CD

English communication

Tools

Claude Agent SDK

Claude Managed Agents

Pydantic AI

LangGraph

MCP

Job description

INFUSE is seeking Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You’ll work across the full lifecycle from scoping with stakeholders to architecture, development, deployment, evaluation and ongoing improvement.

You will be hands-on, thinking like a product owner: define measurable success, ship to real users, and own the outcome after launch with a strong emphasis on quality, cost, and observability.