AI/ML Engineer: RAG Pipelines & Enterprise Bots

Collabera; Atlanta (GA); On-site; USD 69,000 - 96,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Long-term disability

Short-term disability

Paid parking/public transportation

Paid time off

Paid sick time

Paid vacation time

Paid parental leave

Paid holidays

Job summary

Collabera is seeking a Python Developer with AI/ML for a 6-month contract across multiple sites in Hartford, CT, Atlanta, GA and Minneapolis, MN. The role centers on building AI solutions, integrating LLMs, and deploying AI tooling into production.

You will design and implement RAG pipelines, create AI assistants or copilots, and connect enterprise systems via APIs to automate business workflows. Strong Python skills and production deployment experience are required.

Qualifications

• Strong Python development experience.
• Experience building RAG pipelines for AI apps.
• Experience developing AI agents or agentic workflows.
• Experience implementing end-to-end AI solutions that automate workflows.
• Experience integrating LLMs into enterprise applications.
• Knowledge of vector databases is a plus.
• Experience deploying AI applications into production is preferred.

Responsibilities

• Design and develop AI solutions using RAG to support business needs.
• Build AI assistants or copilots and enterprise chatbots.
• Integrate LLMs into enterprise systems and APIs.
• Deploy and monitor AI applications in production environments.

Skills

Python

RAG pipelines

AI agents

End-to-end AI

LLMs integration

Vector DBs

Production deployment

Job description

Collabera is seeking a Python Developer with AI/ML for a 6-month contract across multiple sites in Hartford, CT, Atlanta, GA and Minneapolis, MN. The role centers on building AI solutions, integrating LLMs, and deploying AI tooling into production.

You will design and implement RAG pipelines, create AI assistants or copilots, and connect enterprise systems via APIs to automate business workflows. Strong Python skills and production deployment experience are required.