AWS AI Engineer

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🕒 Julho 1, 2025

🌵 Arizona, California, +15 estados a mais – Remoto

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

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Hudson IT and Manpower

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2019

🎯 Recrutamento

☁️ SaaS

⚡ Energia

Recruitment • SaaS • Energy

Hudson IT and Manpower é uma empresa dinâmica que oferece uma variedade de serviços, incluindo recrutamento de TI, soluções de software e serviços abrangentes de recrutamento para as indústrias de energia, construção e diversos setores técnicos. Especializada em soluções digitais interativas, sua expertise abrange desenvolvimento de aplicações, serviços em nuvem, cibersegurança e muito mais, com o objetivo de capacitar empresas para alcançar maior eficiência e crescimento. Com um compromisso com a qualidade e práticas inovadoras, a Hudson IT and Manpower se dedica a encontrar talentos de ponta e entregar software personalizado adaptado às necessidades únicas de seus clientes, garantindo integração perfeita e sucesso sustentável.

Descrição

• GENERAL FUNCTION: We are hiring a Sr AI AWS Engineer who has actually built AI/ML applications in cloud—not just read about them. • This role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. • You’ll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data, internal documentation, and system telemetry. • You’ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. • This is not a prompt-engineering sandbox or a resume keyword trap. • If you’ve merely dabbled in BedRock, mentioned RAG on LinkedIn, or read about vector search—this isn’t the right fit. • We’re looking for candidates who have architected, developed, and supported AI/ML services in production environments. • This is a builder’s role within our Public Cloud AWS Engineering team. • We aren’t hiring buzzword lists or conference attendees. • If you’ve built something you’re proud of—especially if it involved real infrastructure, real data, and real users—we’d love to talk. • If you’re still learning, that’s great too—but this isn’t an entry-level role or a theory-only position. • DUTIES AND RESPONSIBILITIES: Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3). • Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services. • Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks. • Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing. • Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems. • Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform). • Support the development and evolution of reusable platform components for AI/ML operations. • Create and maintain technical documentation for the team to reference and share with our internal customers. • Excellent verbal and written communication skills in English.

🎯 Requisitos

• 7 years of hands-on software engineering experience with a strong focus on Python. • Experienced with AWS services, especially Bedrock or SageMaker • Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production. • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config). • Solid experience implementing RAG architectures and LangChain. • Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud. • Strong background in Git-based version control, code reviews, and DevOps workflows. • Demonstrated success delivering production-ready software with release pipeline integration. • Nice-to-Haves: AWS or relevant cloud certifications. • Policy as Code development (e.g., Terraform Sentinel). • Experience with Hugging Face, Golang, or Node.js. • Exposure to FinOps and cloud cost optimization. • Data science background or experience working with structured/unstructured data. • Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).

🏖️ Benefícios

• Competitive base salary • Medical, dental, and vision insurance coverage • Optional life and disability insurance provided • 401(k) with a company match and optional profit sharing • Paid vacation time • Paid Bench time • Training allowance offering • You’ll be eligible to earn referral bonuses!