AI Engineer

Job Summary

Join Eliassen Group as an AI Engineer in Nashville, Davidson County (US). This remote contract role focuses on building backend services and AI agents to 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.
• Build and maintain AI agents that execute end‑to‑end workflows across multiple domains.
• Collaborate with data scientists, product owners, and infrastructure teams to integrate AI models into production.
• Optimize model performance, latency, and cost for cloud environments.
• Write clear documentation and provide technical guidance to junior engineers.

Required Qualifications

• Bachelor’s or higher in Computer Science, AI, Machine Learning, or related field.
• Strong experience with Python, RESTful APIs, and cloud platforms (AWS, Azure, GCP).
• Hands‑on expertise in LLMs, embeddings, vector databases, and retrieval‑augmented generation techniques.
• Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience building production‑grade AI services and micro‑service architectures.
• Excellent problem‑solving skills and ability to work independently in a remote setting.

Preferred Skills

• Knowledge of prompt engineering, LangChain, or similar orchestration tools.
• Familiarity with CI/CD pipelines, Docker, Kubernetes, and serverless computing.
• Background in enterprise data integration, knowledge graphs, or semantic search.

Compensation

Annual salary: $122,010.52 (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 a remote contract position, allowing you to work from anywhere.

What salary can I expect?

The contract offers a fixed annual salary of $122,010.52.

What experience is required with AI models?

You need hands‑on experience with large language models, retrieval‑augmented generation, and related ML frameworks.