.NET Developer

InfoTrack US

full-time

Posted on: 8/27/2025

Location: New York • 🇺🇸 United States

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💰 $110,000 - $140,000 per year

Mid-LevelSenior

AWSAzureCloudDockerEntity FrameworkKubernetesMicroservicesMongoDB.NETNoSQLReactSQL

About the role

InfoTrack is a platform that connects law firms to courts and the services they need to litigate successfully
Design and scale backend systems, integrate LLMs and OCR, and partner with product and engineering teams
Build and maintain backend services for AI-powered document extraction, e-filing, and workflow automation
Integrate with LLM APIs, OCR tools, and court systems for seamless data flow
Write and review scalable C# code in a microservices architecture
Collaborate with PMs, partner companies, and engineers to scope and ship features
Improve observability for AI features (logging, metrics, cost tracking)
Stay current on AI/document processing tools and share insights
Contribute to shared infrastructure and cross-functional development efforts
Ensure quality through testing, code reviews, and process improvements
Recommend product enhancements based on technical insights and user behavior
Support related duties as part of a lean, high-impact team

Proficient in C# and the .NET ecosystem
Experience with Entity Framework, MS SQL, and third-party API integrations
Familiar with microservice architecture, Git, CI/CD, and automated testing
Strong debugging, problem-solving, and collaboration skills
Comfortable working in Agile teams and independently scoping work
Entrepreneurial mindset with awareness of business tradeoffs
Strong written and verbal communication skills for cross-team and external collaboration
Exposure to LLM APIs, including monitoring and cost observability
Experience with OCR tools (e.g., Azure Document Intelligence, Google Document AI, Tesseract)
Skilled in prompt design (zero-shot, few-shot, chain-of-thought) for reliable outputs
Experience reducing AI hallucinations via prompting, model selection, and post-processing
Hands-on experience integrating OpenAI, Azure OpenAI, or Anthropic APIs at scale
Familiarity with MongoDB, React, or other modern frontend/NoSQL technologies
Understanding of observability, cloud infrastructure, and containerization (Azure, AWS, Docker, Kubernetes)
Awareness of vector databases and semantic search
Familiarity with unit, integration, performance, and smoke testing
Experience monitoring and optimizing system performance (latency, throughput, token limits, memory usage)