Senior AI Engineer - GenAI Platforms & LLM Ops (Remote)

Mitratech, Inc.; Northern (KY); Hybrid; USD 170,000 - 190,000; Full time

Benefits offered by this job

Remote Work

Career Advancement & Professional Dev.

Employee Recognition

Job summary

Mitratech is hiring a Senior AI Engineer to design, build, and operate intelligent agent systems on our AWS-native GenAI platform. You will own end-to-end services from design through stable operations, shaping RAG architectures and agent workflows for internal tooling and customer features.

Join a globally distributed team delivering scalable, enterprise-grade AI capabilities. The role is remote within the US with a compensation range of $170K–$190K annually, plus benefits.

Qualifications

• 5+ years of software engineering experience with production AI/LLM systems.
• Expert-level Python and service development (async, FastAPI, Pydantic v2).
• Deep GenAI/LLM application experience — designing RAG architectures and agent workflows, ideally with Claude via Amazon Bedrock or the Anthropic API.
• Strong AWS engineering (Bedrock, Lambda, ECS, API Gateway).
• Hands-on agent tooling: LangChain/LangGraph and MCP (building and operating tool/resource servers).
• Terraform / IaC and containerized delivery through CI/CD.
• Identity and app-security fundamentals (JWT/OAuth, secrets management).
• Production observability and LLM evaluation experience (tracing, evals, latency/cost/quality metrics).
• Demonstrated ability to mentor engineers, lead design reviews, and set engineering practices.

Responsibilities

• Design and own LLM-powered agents end-to-end for internal tooling, customer-facing features, and workflow automation — built on Bedrock with LangChain/LangGraph and the langchain-aws/-anthropic/-core stack
• Design agent workflows and RAG architectures for team-level use; influence team design beyond your own services
• Build and operate MCP servers that expose company data and services as structured tools for AI models
• Define the testing, reliability, and operational practices for your areas; own delivery and on-call quality for major services
• Stand up evaluation pipelines (Langfuse + eval harnesses) and prompt-versioning practices, and use them to drive reliability and cost/quality improvements
• Lead design reviews, mentor across the team, and drive improvements in engineering practice
• Collaborate with product, data, and platform teams to scope and deliver agent-based solutions, applying platform patterns and governance hooks correctly
• Design and own LLM-powered agents end-to-end for internal tooling, customer-facing features, and workflow automation — built on Bedrock with LangChain/LangGraph and the langchain-aws/-anthropic/-core stack
• Design agent workflows and RAG architectures for team-level use; influence team design beyond your own services
• Build and operate MCP servers that expose company data and services as structured tools for AI models
• Define the testing, reliability, and operational practices for your areas; own delivery and on-call quality for major services
• Stand up evaluation pipelines (Langfuse + eval harnesses) and prompt-versioning practices, and use them to drive reliability and cost/quality improvements
• Lead design reviews, mentor across the team, and drive improvements in engineering practice
• Collaborate with product, data, and platform teams to scope and deliver agent-based solutions, applying platform patterns and governance hooks correctly

Skills

Python

FastAPI

Pydantic

AWS Bedrock

LangChain

LangGraph

MCP

Terraform

CI/CD

JWT/OAuth

Observability

Evals

Mentoring

Tools

Bedrock

Lambda

ECS

API Gateway

Job description

Mitratech is hiring a Senior AI Engineer to design, build, and operate intelligent agent systems on our AWS-native GenAI platform. You will own end-to-end services from design through stable operations, shaping RAG architectures and agent workflows for internal tooling and customer features.

Join a globally distributed team delivering scalable, enterprise-grade AI capabilities. The role is remote within the US with a compensation range of $170K–$190K annually, plus benefits.