AWS AI Engineer

Job not on LinkedIn

July 1

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+15 more states

🌵 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

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Hudson IT and Manpower

WebsiteLinkedInAll Job Openings

Recruitment • SaaS • Energy

Hudson IT and Manpower is a dynamic company providing a range of services including IT staffing, software solutions, and comprehensive recruitment services for the energy, construction, and various technical industries. Specializing in digital interactive solutions, their expertise encompasses application development, cloud services, cybersecurity, and more, aimed at empowering businesses to achieve greater efficiency and growth. With a commitment to quality and innovative practices, Hudson IT and Manpower is dedicated to sourcing top talent and delivering custom software tailored to the unique needs of their clients, ensuring seamless integration and sustainable success.

11 - 50 employees

Founded 2019

🎯 Recruiter

☁️ SaaS

⚡ Energy

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• 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!