AI Engineer

Join Eliassen Group as an AI Engineer working remotely from Cedar, Cole County, US. This contract role focuses on building backend services and AI agents that automate end‑to‑end business workflows.

Key Responsibilities

• Design, develop, and deploy retrieval‑augmented generation (RAG) systems for enterprise data lookups.
• Create scalable backend services that power AI‑driven business processes.
• Collaborate with cross‑functional teams to integrate AI agents into existing workflows.
• Maintain code quality, perform testing, and ensure robust performance in production environments.
• Document architectures, APIs, and best practices for future scalability.

Required Qualifications

• Bachelor’s or higher in Computer Science, AI, Machine Learning, or related field.
• Strong experience with Python, Java, or similar backend languages.
• Proficiency in building and fine‑tuning large language models and RAG pipelines.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Ability to work independently in a fully remote setting and communicate effectively with distributed teams.

Preferred Skills

• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Knowledge of data engineering, ETL processes, and enterprise data warehouses.
• Familiarity with CI/CD pipelines and DevOps best practices.

Compensation

Salary: $125,444.93 per year (contract rate)

How to Apply

Visit the Eliassen Group careers portal and reference ID JN‑042026‑106565 to submit your application.

Frequently Asked Questions

Is this position fully remote?

Yes, the AI Engineer role is 100% remote, allowing you to work from Cedar, Cole County or any location of your choice.

What is the contract length and salary?

The contract offers a fixed annual salary of $125,444.93; the exact duration will be discussed during the interview process.

What technical skills are essential for this role?

Proficiency in Python or Java, experience with large language models, retrieval‑augmented generation, and cloud platforms (AWS, Azure, GCP) are essential.