Senior AI Software Engineer (.NET + AI)

At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Job Description:

Epiq is seeking a highly skilled Senior AI Software Engineer to join our Operations Engineering team. This role is ideal for experienced C#/.NET Software Engineers who are passionate about building intelligent enterprise applications using modern AI technologies.

This is a software engineering-first role , where approximately 7 0% of your work focuses on designing and developing scalable enterprise applications using C#/.NET , while 30% involves integrating AI capabilities using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agentic frameworks.

You'll help build AI-powered operational platforms that automate complex workflows, intelligently route work, validate operational instructions, and enable AI agents to interact seamlessly with enterprise systems.

You'll also help drive modern engineering practices using Azure DevOps and contribute to the evolution of Epiq's AI-enabled operational ecosystem.

Key Responsibilities

Software Engineering

Design, develop, and maintain scalable enterprise applications using C#/.NET and ASP.NET Core .

Build RESTful APIs, backend services, and microservices that power AI-enabled applications.

Develop clean, maintainable, and production-ready software following engineering best practices.

Collaborate with architects, product owners, and cross-functional engineering teams to deliver high-quality solutions.

Engineer reusable components with a strong focus on scalability, reliability, performance, and security.

Integrate internal and third-party platforms into Epiq's operational ecosystem.

Utilize Azure DevOps for agile delivery, source control, CI/CD, and work management.

AI Application Development

Build AI-powered features using Python and modern LLM technologies.

Develop intelligent agents that automate operational workflows and business processes.

Design and implement Retrieval-Augmented Generation (RAG) solutions.

Build and integrate Model Context Protocol (MCP) services and tools.

Develop multi-agent workflows using modern agentic frameworks.

Integrate enterprise applications with LLM services through APIs.

Apply prompt engineering and AI evaluation techniques to improve solution quality.

Modernize existing operational automations using AI-enabled architectures.

Required Qualifications

5+ years of professional software development experience.

Strong hands-on experience developing enterprise applications using C#/.NET and ASP.NET Core .

Proficiency in designing REST APIs and microservices.

Experience with SQL Server or other relational databases.

Strong understanding of object-oriented programming, software design patterns, and scalable system design.

Experience with Git, Azure DevOps, CI/CD pipelines, and Docker.

AI Experience

Practical experience building AI-enabled applications using:

Python

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Vector databases and embeddings

Prompt engineering

AI API integrations (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)

Experience with one or more of the following is preferred:

Semantic Kernel

LangGraph

CrewAI

AutoGen

OpenAI Agents SDK

Working knowledge of:

Model Context Protocol (MCP)

Agent orchestration

Tool calling

AI workflow automation

Preferred Qualifications

Experience with Microsoft Azure and Azure AI services.

Azure OpenAI or Azure AI Foundry.

Kubernetes and containerized deployments.

Event-driven or distributed architectures.

Enterprise workflow automation.

Experience integrating AI capabilities into existing enterprise software products.

What We're Looking For

We're looking for engineers who think like software developers first and AI practitioners second .

The ideal candidate has a strong foundation in enterprise software development using C#/.NET and is excited about applying AI technologies to solve real business problems. Rather than building or training machine learning models, you'll focus on integrating modern AI capabilities into production software to automate workflows, improve operational efficiency, and deliver intelligent user experiences.

If you enjoy building scalable enterprise software while shaping the future of AI-powered applications, we'd love to hear from you.

Your specific salary will be determined based on several factors:

Location-based market rate for the role

Your abilities in relation to the job specification

Performance during screening and interview

Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

Build trust-based partnerships

Nurture long-term relationships

Remove collaboration barriers

Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

Use storytelling to build buy-in

Align communication with organizational goals

Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

Use data to identify improvement opportunities

Make informed decisions

Align team goals with boarder strategy

Empower teams to manage their own goals

Translate vision into clear priorities

Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

Improve workflows for team efficiency

Use clear documentation and expectations

Resolve issues quickly using data and feedback