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.
