InfoTrack US

.NET Developer

InfoTrack US

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $110,000 - $140,000 per year

Job Level

Mid-LevelSenior

Tech Stack

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

Requirements

  • 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)