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Largeton Group

AI /ML Engineer

Largeton Group
United States · Full-time · Associate

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.

Key Skills

Ranked by relevance

cloud aws infrastructure as code microservices serverless dynamodb cicd ai s3
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Posted
May 14, 2025
Type
Full-time
Level
Associate
Location
United States

Industries

Information Services

Categories

Engineering Information Technology

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