Senior AI Engineer - Remote LLM Agent Platform Lead

INFUSE North America; United States; À distance; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Fully remote

Paid time off

Reduced summer hours

Holidays & birthday off

Flexible schedule

Résumé du poste

INFUSE North America is seeking Senior AI Engineers to design, build and run LLM-powered agents in production. You’ll work end-to-end from scoping with stakeholders to deployment and ongoing improvement, using Python and TypeScript, PostgreSQL, Kafka, Docker, and AWS.

This role emphasizes product thinking, cost awareness, and hands-on coding with Claude tools and other providers. Fully remote in the US with generous time off and flexible schedule.

Qualifications

• 5+ years of software engineering experience with production systems.
• Proven experience building LLM-based agents or agentic workflows in production.
• Hands-on experience with Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar.
• Hands-on experience with MCP and RAG: you’ve built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
• Experience with multiple LLM providers and with AWS Bedrock.
• Strong Python and SQL; comfortable in TypeScript/Node.js.
• Solid production engineering on AWS: Docker, CI/CD, observability.
• Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
• Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar).
• Clear communication with technical and non-technical stakeholders, in English.

Responsabilités

• 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. You drive the tool, verify its output and catch its mistakes.

Connaissances

Software engineering

LLM agents

Production systems

English communication

Cloud operations

Cost management

Agent frameworks

Python

SQL

TypeScript

Outils

Claude Agent SDK

Claude Managed Agents

Pydantic AI

LangGraph

MCP

RAG pipelines

AWS Bedrock

Docker

CI/CD

Observability

Python

SQL

TypeScript/Node.js

Description du poste

INFUSE North America is seeking Senior AI Engineers to design, build and run LLM-powered agents in production. You’ll work end-to-end from scoping with stakeholders to deployment and ongoing improvement, using Python and TypeScript, PostgreSQL, Kafka, Docker, and AWS.

This role emphasizes product thinking, cost awareness, and hands-on coding with Claude tools and other providers. Fully remote in the US with generous time off and flexible schedule.