Senior AI Engineer (Remote, Contract)

Hidden Jobs; United States; Remote; USD 170,000 - 250,000; Full time

Benefits offered by this job

Fully remote work

Paid time off

Reduced Friday hours in summer

US holidays and birthday off

Job summary

Infuse is seeking an experienced software engineer to design, build, deploy, and operate LLM-powered agents and AI features used by real customers. You will own reliability, quality, cost, and post-launch improvements across the full product lifecycle.

You should have 5+ years of production systems experience, a track record with LLM agents, and strong Python/SQL skills plus TypeScript/Node.js comfort. This is a fully remote US role with a collaborative, experiment-driven environment.

Qualifications

• Five+ years of software engineering experience with production systems you have designed and supported.
• Proven track record delivering LLM agents or agentic workflows to real users.
• Hands-on knowledge of agent frameworks or SDKs such as Claude Agent SDK, Pydantic AI, LangGraph, or comparable tools.
• Experience building MCP servers or equivalent tool layers and retrieval pipelines over complex data.
• Strong Python and SQL skills; comfortable with TypeScript/Node.js.

Responsibilities

• Build agentic workflows with tool use, structured outputs, retrieval-augmented generation, multi-step orchestration, and human review.
• Create and maintain governed tool layers and MCP servers connecting agents to business data and systems.
• Establish evaluations, datasets, telemetry, prompt/versioning, provider routing, fallbacks, and cost controls.
• Deliver production services via testing, CI/CD, containerized deployments, monitoring, and rollback processes.
• Contribute to AI platform capabilities such as agent templates, LLM gateways, and observability.
• Partner with stakeholders to prioritize use cases, define success metrics, and determine when an agent is appropriate.

Skills

5+ years software engineering

LLM agents experience

Agent frameworks/SDKs

MCP servers / retrieval pipelines

Python

SQL

TypeScript/Node.js

AWS

Docker

CI/CD

Observability

LLM providers (Bedrock)

Product thinking

Communication

Tools

Claude Agent SDK

Pydantic AI

LangGraph

Job description

Role overview

This contract role focuses on designing, building, deploying, and operating LLM-powered agents and AI features used by real customers. The engineer works across the full product lifecycle, translating business needs into measurable outcomes and owning reliability, quality, cost, and improvement after launch.

Responsibilities

• Build agentic workflows involving tool use, structured outputs, retrieval-augmented generation, multi-step orchestration, and human review.
• Create and maintain governed tool layers and MCP servers that connect agents to business data and systems.
• Establish evaluations, golden datasets, telemetry, prompt and model versioning, provider routing, fallbacks, and cost controls.
• Deliver production services through testing, CI/CD, containerized deployments, monitoring, and rollback processes.
• Contribute to shared AI platform capabilities such as agent templates, LLM gateways, and observability.
• Partner with stakeholders to prioritize use cases, define success metrics, and determine when an agent is appropriate.

Requirements

• At least five years of software engineering experience with production systems you have designed, shipped, and supported.
• Demonstrated experience delivering LLM agents or agentic workflows to real users.
• Practical knowledge of agent frameworks or SDKs such as Claude Agent SDK, Pydantic AI, LangGraph, or comparable tools.
• Experience building MCP servers or equivalent tool layers and retrieval pipelines over complex data.
• Strong Python and SQL skills, with comfort working in TypeScript/Node.js.
• Production experience with AWS, Docker, CI/CD, testing, observability, and multiple LLM providers, including AWS Bedrock.
• Product-oriented judgment, measurable business thinking, and clear communication with technical and non-technical stakeholders in English.

Nice to have

• Experience with LLM observability or gateway tooling, contact and company data, FinOps, cloud operations, Kafka, Temporal, or similar workflow systems.
• Experience replacing no-code or workflow-tool automations with maintainable production code.

Benefits and work setup

• Fully remote work.
• Collaborative environment that supports initiative and experimentation.
• Paid time off and sick leave.
• Reduced Friday hours during summer.
• Days off for US national holidays and your birthday.
• Working hours are scheduled from 14:00 to 23:00 EEST.