AI Software Engineer
Company: Epiq
Location: Phoenix, AZ (Remote)
Salary: $110k - $135k per year
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-03-06
About this role
It's fun to work at a company where people truly believe in what they are doing!
Job Description:
Epiq is seeking a highly skilled
AI Software Engineer
to join our Operations Engineering team. This role is ideal for candidates who are passionate about building applied AI systems—not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.
You’ll work at the intersection of software engineering and AI, leveraging modern technologies such as
GenAI
,
LLMs
,
MCP servers
, and
agentic frameworks
to build scalable, production-ready solutions. This role will also champion modern development practices and utilize
Azure DevOps
for agile delivery and ticketing.
Key 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.
Qualifications & Experience
- 3+ years of experience in AI/ML/NLP/LLMs or related fields.
- Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.
- Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (R...