Senior AI Engineer

🕒 Agosto 13

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Mitratech

1001 - 5000 funcionários

💼 Consultoria

⚖️ Jurídico

🤖 Inteligência Artificial

💰 Private Equity Round em 2017-04

Consulting • Legal • Artificial Intelligence

A Mitratech é uma provedora líder de soluções de gestão jurídica corporativa, gestão de riscos e recursos humanos. Sua plataforma incorpora automação, analytics e tecnologias de inteligência artificial para aumentar a eficiência e a conformidade em toda a organização. A Mitratech se especializa em ferramentas para departamentos jurídicos, gestão de riscos, acompanhamento de compliance e gestão de RH, criando um ambiente interconectado que capacita os profissionais a trabalharem de forma mais inteligente e alcançarem melhores resultados.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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