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AWS AI Engineer / USC and GC Candidates can ONLY Apply

ID: 9355

Type: Full-time

Category: Others

Company Name: Hudson IT and Manpower

Location: California (USA) - California - United States

Education Level: Senior (5-10 years)

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Job Description

Job Title: AWS AI Engineer

Location: REMOTE USA

TOP SKILLS:

Must Have

AWS services- Bedrock, SageMaker, ECS and Lambda

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)

Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain

Experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud

Fine-tuning large language models, building datasets and deploying ML models to production

Git-based version control, code reviews, and DevOps workflows

Nice To Have

AWS or relevant cloud certifications

Data privacy and compliance best practices (e.g., PII handling, secure model deployment)

Data science background or experience working with structured/unstructured data

Exposure to FinOps and cloud cost optimization

Hugging Face, Node.js

Policy as Code development (I.e. Terraform Sentinel)

What You’ll Do

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.

SUPERVISORY RESPONSIBILITIES: None

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

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).

What You’ll Get

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!

Company Information

Company Name: Hudson IT and Manpower

Company Website: https://hudson.com

Company Address: New Delhi, Delhi, India

Hudson (operating under the Hudson brand) is a global talent solutions and professional services firm that focuses on connecting organisations with skilled professionals and delivering workforce-related solutions across permanent recruitment, contract staffing, managed services and talent consulting. The company markets itself as a specialist recruiter and workforce partner for organisations seeking to hire in specialized, technical and professional roles, with particular emphasis on technology and IT-related functions alongside other corporate disciplines. Hudson’s core business is the design and delivery of talent acquisition and workforce management services that help clients source, assess, onboard and retain staff with the technical skills and domain experience required for digital transformation, IT operations, software development, data and analytics, cybersecurity and other technology-led capabilities. At a high level, Hudson’s service portfolio is built around several complementary offerings. Permanent recruitment services focus on identifying and placing experienced mid-to-senior professionals in full-time roles, applying targeted sourcing strategies, role-specific assessment methodologies and candidate management to secure hires that meet clients’ technical, cultural and commercial requirements. Contract and contingent workforce services provide short- to medium-term placements for project-based work, enabling organisations to scale technical teams quickly for development sprints, infrastructure projects, systems migrations or other temporary demands. Managed services and recruitment process outsourcing (RPO) solutions are structured for larger-scale talent delivery, where Hudson operates as an integrated partner to run recruitment programmes, manage candidate pipelines, centralise vendor relationships and deliver metrics-driven hiring outcomes across multiple markets or business units. Beyond sourcing and placement, Hudson offers a suite of talent consultancy capabilities designed to strengthen clients’ end-to-end workforce lifecycle. These include role profiling and competency frameworks for technology positions, technical and psychometric assessment tools tailored to IT and engineering roles, employer branding and candidate experience improvements, market mapping and salary benchmarking for hard-to-fill technical skills, and onboarding and retention programmes intended to reduce time-to-productivity and turnover. For technology organizations, the firm frequently supports hiring for software engineering (frontend, backend, full-stack), cloud engineering and architecture, DevOps and site reliability engineering (SRE), data science and analytics, machine learning engineering, cybersecurity, network and systems administration, enterprise architecture and technical program management. Hudson’s clients typically span a mix of sectors that rely on technical talent: enterprise software and SaaS vendors, financial services and fintech firms, technology-enabled services businesses, professional services companies, public sector and government agencies, and mid-market to large enterprises undergoing digital transformation. The company positions itself to serve both line-of-business hiring managers seeking niche technical skills and HR/talent leaders looking for strategic recruitment and workforce management support. Services are delivered through consultative account teams, talent specialists with sector-specific expertise and, when needed, embedded recruiters or managed delivery teams that operate from client sites or remotely. A significant part of Hudson’s value proposition is its emphasis on assessment and quality assurance. For technical hires, Hudson often combines human screening with validated skills assessments and practical technical evaluations to ensure candidates not only have relevant experience but also demonstrate the required problem-solving and coding abilities. This helps reduce hiring risk for clients who need engineers and technologists able to contribute immediately to product development or IT operations. For contingent workforce engagements, Hudson typically implements governance processes, compliance checks and vendor management practices to manage contractor lifecycles and contractual obligations. Technology underpins Hudson’s delivery model: the firm uses applicant tracking systems, candidate relationship management platforms, assessment technologies and data-driven analytics to manage talent pipelines and track recruitment performance. Reporting and analytics offered to clients commonly include time-to-hire, cost-per-hire, candidate source effectiveness and diversity metrics, enabling continuous improvement of recruitment strategies. In larger managed services relationships, Hudson may integrate with clients’ HR and procurement systems, provide program governance and produce regular service-level reporting. While Hudson is primarily known for recruiting and workforce solutions rather than for software products, it may also partner with or resell third-party assessment and HR technology tools as part of holistic recruitment programmes. The company’s working model encompasses both local market expertise—through regional or country-level teams familiar with specific technology talent markets—and broader global capability for multinational clients requiring consistent recruitment approaches across geographies. Hudson’s typical engagements range from single-role recruitments to enterprise-wide programmes. For technology leaders, common use cases include accelerating product development through contractor augmentation, building long-term engineering capacity via retained search and strategic hiring, and establishing contingent workforce programmes to flexibly manage peaks in IT project demand. For HR leaders, Hudson provides managed recruitment services that centralise hiring activity, deliver predictable outcomes and improve recruitment efficiency through streamlined processes and technology-enabled sourcing. Overall, the company’s positioning is that of a specialist talent partner for technology and professional roles: delivering recruitment, contingent workforce, managed services and talent consulting with a combination of technical assessment capability, market insight and operational delivery. Hudson’s client-centric approach typically emphasizes measurable hiring outcomes, risk mitigation for contingent arrangements and alignment between technical hiring needs and broader organisational objectives. Note: This description is focused on Hudson as a technology-focused talent solutions provider and reflects the company’s core business areas (recruitment, staffing, RPO/managed services and talent consulting) commonly promoted in official company materials; it does not assert specific corporate headquarters, founding dates or financial details unless those details are explicitly confirmed on an official source.
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