AI /ML Engineer

Largeton Group; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

A leading company is seeking a Senior AI/ML Engineer to build and deploy AI/ML applications in AWS. The role involves designing scalable solutions, managing CI/CD processes, and collaborating with stakeholders to meet business goals. This remote position offers a competitive salary and the opportunity to drive innovation in AI/ML.

Qualifications

• Experience with retrieval-augmented generation (RAG) systems.
• Proficient in building scalable, secure, cloud-native applications.

Responsibilities

• Design and deploy AI/ML applications in AWS cloud environments.
• Manage the full software development lifecycle including CI/CD pipelines.

Skills

AI/ML

AWS

CI/CD

Terraform

Microservices

Tools

AWS Lambda

SageMaker

DynamoDB

S3

Job description

Job Summary (AI/ML Engineer – W2 Role- Remote)

• Serve as a Senior AI/ML Engineer focused on building and deploying AI/ML applications in AWS cloud environments.
• Design, implement, and maintain retrieval-augmented generation (RAG) systems and fine-tune large language models (LLMs) for enterprise use.
• Develop scalable, secure, cloud-native microservices, APIs, and serverless functions (using AWS Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3) for automation, insight, and governance.
• Architect and deliver AI/ML solutions that integrate with live infrastructure data, internal documentation, and system telemetry.
• Collaborate with internal stakeholders to gather requirements, understand business goals, and translate them into robust AI systems.
• Manage the full software development lifecycle including CI/CD pipelines, GitHub-based workflows, and infrastructure as code (Terraform).
• Support and enhance reusable platform components to enable AI/ML operations across the organization.
• Create and maintain technical documentation for internal team and stakeholder reference.
• Communicate effectively with team members and stakeholders, both verbally and in writing.
• Be a key member of a high-impact, cloud-native engineering team, driving innovation in AI/ML within a real-world enterprise setting.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Information Services

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