As a .NET Developer, you will design and build backend systems that power AI-driven legal workflows. You will work on services involving LLMs, OCR, and document automation, collaborating closely with product and engineering teams to deliver reliable, scalable software used in production by legal professionals.
This role focuses on practical AI integration—building robust systems around AI capabilities rather than experimental research.
We're Looking for:
4+ years of professional backend development experience using C# and the .NET ecosystem
Strong experience with Entity Framework, MS SQL, and third-party API integrations
Experience working with microservices, Git, CI/CD pipelines, and automated testing
Strong debugging, problem-solving, and collaboration skills
Comfortable working in Agile environments, independently scoping and delivering work
Clear written and verbal communication skills
AI & Document Processing Experience:
Hands-on experience integrating LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into production systems
Experience with OCR tools such as Azure Document Intelligence, Google Document AI, or Tesseract
Practical understanding of prompt design (zero-shot, few-shot) and techniques to improve output reliability
Experience monitoring AI usage, performance, and cost observability
Ability to reduce hallucinations through structured prompting, model selection, and post-processing.
Responsibilities:
Design, build, and maintain backend services for AI-powered document extraction, e-filing, and legal workflow automation
Develop and maintain C#/.NET microservices in a cloud-based architecture
Integrate with LLM APIs, OCR services, and external court systems to enable reliable data flows
Build and evolve MCP servers to support AI-driven workflows and integrations
Collaborate with Product Managers, partner companies, and engineers to scope, implement, and ship features
Improve observability for AI features (logging, metrics, performance, and cost tracking)
Contribute to shared infrastructure and cross-team development initiatives
Ensure quality through code reviews, testing, and continuous improvement
Stay current on AI and document-processing technologies and share actionable insights with the team
