The Role
Build and deploy AI agents and LLM-powered applications using tool calling, agent workflows, RAG, and APIs. Develop full-stack .NET applications, APIs, and Python AI services supporting eDiscovery, eHearings, and process automation. Write tested code using TDD and BDD, collaborate within an Agile team, and maintain CI/CD pipelines and cloud deployments.
Summary Generated by Built In
Skills:
- 7+ years of full stack development experience, including 2+ years hands-on with AI or LLM applications.
- Strong C#, .NET 8+, ASP.NET Core, Entity Framework and SQL Server.
- Strong Python, including FastAPI, Django or Flask.
- Hands-on experience building AI agents, including prompt engineering, RAG, vector databases, and APIs or frameworks such as Claude, Azure OpenAI, LangChain or MCP.
- Experience with CI/CD, Docker, Git, and Azure or AWS.
- Experience working in Agile/Scrum teams.
- Excellent English communication skills.
Great to have: Experience in legal tech or eDiscovery, Relativity development, OCR or transcription technology, or Java.
Responsibilities:
- Build and deploy AI agents and LLM-powered applications, using tool calling, agent workflows and RAG.
- Develop AI tools for eDiscovery (on Relativity aiR), eHearings and internal process automation.
- Build full stack .NET web applications and APIs (C#, ASP.NET Core, Angular or React), and Python AI services.
- Write clean, well-tested code using TDD and BDD practices.
- Work in an Agile team with our Lead Engineer, Business Analyst and Product Owner.
- Build and maintain CI/CD pipelines and cloud deployments.
Email: [email protected]
Skills Required
- 7+ years of full-stack development experience
- 2+ years of hands-on AI or LLM application experience
- Strong C#, .NET 8+, ASP.NET Core, Entity Framework, and SQL Server experience
- Strong Python experience, including FastAPI, Django, or Flask
- Hands-on experience building AI agents, including prompt engineering, RAG, vector databases, and AI APIs or frameworks
- Experience with CI/CD, Docker, Git, and Azure or AWS
- Experience working in Agile/Scrum teams
- Excellent English communication skills
- Experience in legal tech or eDiscovery
- Relativity development experience
- OCR or transcription technology experience
- Java experience
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The Company
What We Do
Established in 1999, Law In Order is a leading provider of end-to-end document and digital solutions for the legal industry. They specialize in outsourced legal support services, including eDiscovery, eHearings, and professional document production, serving law firms, government agencies, and corporate businesses. Their goal is to streamline workflows and provide scalable, high-quality litigation support through a bimodal approach to legal services.
