Applied AI Engineer — GenAI, LLMs & Automation

Epiq; Overland Park (KS); On-site; USD 120,000 - 160,000; Full time

Job summary

Epiq is seeking an AI Software Engineer to join the Operations Engineering team. You will design AI-driven features and intelligent agents, integrating GenAI and LLMs into scalable, production‑ready systems using APIs and microservices.

You’ll champion modern development practices with Azure DevOps for agile delivery. We expect hands‑on GenAI work, model training, and RAG experience, along with strong cloud and CI/CD skills.

Qualifications

• Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.
• Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).
• Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.
• Familiarity with cloud platforms (Azure/AWS) and their AI services.
• Experience with API development, microservices architecture, and CI/CD pipelines.
• Knowledge of Docker, Kubernetes, MLFlow, and Azure DevOps.
• Solid understanding of software engineering principles, data structures, and algorithms.
• Excellent communication skills and ability to present technical concepts to non‑technical stakeholders.
• Bachelor’s degree in Computer Science or related field (or equivalent experience).

Responsibilities

• Design, develop, and deploy AI‑driven features and intelligent agents for real‑world use cases.
• Integrate GenAI and LLMs into applications via APIs and microservices.
• Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.
• Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.
• Engineer robust, reusable components and services with a focus on performance, scalability, and cost‑efficiency.
• Apply prompt engineering techniques to optimize model interactions and outcomes.
• Ensure compliance, security, and ethical standards in all AI development.
• Document processes, architectures, and best practices in Epiq’s internal knowledge base.
• Integrate external products with Epiq’s proprietary solutions.
• Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Skills

GenAI knowledge

Model training

Hyperparameter tuning

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

MCP servers

agentic frameworks

Docker

Kubernetes

MLFlow

Azure DevOps

APIs & microservices

CI/CD

Azure/AWS AI services

Job description

Epiq is seeking an AI Software Engineer to join the Operations Engineering team. You will design AI-driven features and intelligent agents, integrating GenAI and LLMs into scalable, production‑ready systems using APIs and microservices.

You’ll champion modern development practices with Azure DevOps for agile delivery. We expect hands‑on GenAI work, model training, and RAG experience, along with strong cloud and CI/CD skills.