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AI / LLM Software Engineer - 100% remote - W2 only (no sponsorship)

  • Source: LinkedIn
  • Clear Point Consultants
  • Remote
  • United States
  • Mid level

Job Description

100% REMOTE!

We are seeking a Senior AI / LLM Engineer to design, develop, and deploy production-ready AI applications. This role focuses on building scalable LLM solutions, improving retrieval accuracy, integrating enterprise systems, and ensuring secure, reliable performance.

Key Responsibilities

  • Design and deploy LLM-powered applications and features.
  • Build and optimize RAG pipelines, embeddings, vector databases, and data ingestion processes.
  • Integrate LLM APIs and enterprise platforms into backend systems.
  • Develop evaluation methods to improve AI accuracy, performance, and reliability.
  • Implement secure data access, user permissions, monitoring, and audit capabilities.
  • Lead technical design decisions and mentor other engineers.

Required Qualifications

  • 5+ years of software engineering experience, including 2+ years working with LLMs or applied AI in production.
  • Strong Python and backend development skills.
  • Hands-on experience with RAG, vector databases, embeddings, and retrieval optimization.
  • Experience building data ingestion and ETL pipelines.
  • Proficiency integrating APIs, authentication systems, and event-driven applications.
  • Experience with LLM frameworks, model evaluation, and production deployments.
  • Knowledge of access controls, multi-user systems, and data security.
  • Cloud experience, preferably AWS.

Preferred Qualifications

  • Experience with managed LLM services such as Amazon Bedrock.
  • Familiarity with knowledge graphs and enterprise collaboration platforms.
  • Experience with Docker, CI/CD, and MLOps practices.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

If you’re passionate about building practical, scalable AI solutions and taking them from concept to production, we’d love to hear from you!

Skills

  • Python
  • amazon-web-services
  • bedrock
  • Docker

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