Senior AI/LLM Engineer: Build Production-Ready RAG

Clear Point Consultants; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Clear Point Consultants is seeking a Senior AI / LLM Engineer to design, develop, and deploy production-ready AI applications. You will build scalable LLM solutions, improve retrieval accuracy, and integrate enterprise systems into backend platforms.

You will lead design decisions, mentor engineers, and ensure secure, reliable performance with attention to data access controls, monitoring, and audit capabilities.

Qualifications

• 5+ years of software engineering experience with 2+ years in production AI/LLMs.
• Strong Python and backend skills required.
• Experience with RAG, embeddings, and vector databases.
• Experience building data ingestion and ETL pipelines.
• Ability to integrate APIs, authentication, and event-driven apps.
• Familiarity with LLM frameworks and model evaluation.

Responsibilities

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

Skills

Python

Backend development

RAG pipelines

Vector databases

Embeddings

Data ingestion

APIs integration

Authentication systems

Event-driven architecture

LLM frameworks

Model evaluation

Data security

AWS / Cloud

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

CI/CD

MLOps

Job description

Clear Point Consultants is seeking a Senior AI / LLM Engineer to design, develop, and deploy production-ready AI applications. You will build scalable LLM solutions, improve retrieval accuracy, and integrate enterprise systems into backend platforms.

You will lead design decisions, mentor engineers, and ensure secure, reliable performance with attention to data access controls, monitoring, and audit capabilities.