Senior AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Mitratech

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

⚖️ Legal

🤖 Artificial Intelligence

💰 Private Equity Round on 2017-04

Consulting • Legal • Artificial Intelligence

Mitratech is a leading provider of enterprise legal management, risk management, and human resources solutions. Their platform incorporates automation, analytics, and artificial intelligence technologies to enhance efficiency and compliance across organizations. Mitratech specializes in tools for legal departments, risk management, compliance tracking, and HR management, creating an interconnected environment that empowers professionals to work smarter and achieve better outcomes.

📋 Description

• Design and own LLM-powered agents end-to-end for internal tooling, customer-facing features, and workflow automation • Design agent workflows and RAG architectures for team-level use • Build and operate MCP servers exposing company data and services as structured tools for AI models • Define testing, reliability, and operational practices • Own delivery and on-call quality for major services • Stand up evaluation pipelines and prompt-versioning practices • Drive reliability and cost/quality improvements • Lead design reviews and mentor across the team • Collaborate with product, data, and platform teams to scope and deliver agent-based solutions • Apply platform patterns and governance hooks correctly

🎯 Requirements

• 5+ years of software engineering experience, including multiple years building and operating LLM or AI agent systems in production • Expert-level Python and service development, including async, FastAPI, and Pydantic v2 • Deep GenAI/LLM application experience designing RAG architectures and agent workflows • Experience with Claude via Amazon Bedrock or the Anthropic API • Strong AWS engineering, including Bedrock, Lambda, ECS, and API Gateway • Hands-on experience with LangChain/LangGraph and MCP • Terraform/IaC and containerized delivery through CI/CD • Strong data-layer experience with Redis, Snowflake, DynamoDB, Postgres/Aurora, and async SQLAlchemy • Identity and application-security fundamentals, including JWT/OAuth and secrets management • Production observability and LLM evaluation experience, including tracing and latency/cost/quality metrics • Ability to mentor engineers, lead design reviews, and set engineering practices

🏖️ Benefits

• Health, Dental & Vision Insurance • 401 (k) + Employer Match • Open PTO • 11 Paid Holidays • 4 Annual Paid Global Wellness Days Off • STD, LTD & Group Life Insurance • Paid Parental Leave • Pet Insurance • FSA & HSA Options • Employee Assistance Program • Remote Work • Career Advancement & Professional Development Opportunities • Employee Recognition • LinkedIn Learning Platform • Annual bonus eligibility