Senior AI Platform Engineer (Remote, Azure & LLMs)

Lighthouse; Northern (KY); Hybrid; USD 119,000 - 150,000; Full time

Job summary

Lighthouse is seeking a Senior AI Engineer to join the AI Platform team, tackling advanced eDiscovery AI challenges and delivering production-grade software that blends Predictive AI and Generative AI into review workflows.

You will design and build cloud-native services on Azure, work with data scientists, and ensure defensible, scalable systems for multi-million document scales, with a focus on performance and developer productivity.

Qualifications

• Strong proficiency in C# (.NET Framework, .NET Core, ASP.NET Core) with at least 7 years of professional development experience.
• Minimum of 5 years in building cloud-connected software on Azure, including experience with REST APIs, microservices, event-driven architectures, and container orchestration (Kubernetes).
• Experience integrating with AI/ML services: model serving APIs, Azure OpenAI/LLM APIs, vector databases, or Hugging Face inference endpoints.
• Minimum of 5 years in database development (MS SQL, PostgreSQL, or equivalent), including query optimization and handling large datasets.
• Proficiency with Git, Gitflow, Azure DevOps (AZDO), and CI/CD pipeline automation.
• 1+ years of hands-on software development experience using modern AI-assisted Development tooling (e.g., Github Copilot, Claude, or Codex)
• At least 2 years of experience in Test-Driven Development (TDD) or unit testing.
• Experience with eDiscovery platforms (Relativity, Brainspace) or legal technology integrations is strongly preferred.

Responsibilities

• Design and develop comprehensive software applications and services that deliver eDiscovery AI capabilities — including TAR/CAL workflow engines, document scoring orchestration, Generative AI output pipelines, and reviewer-facing APIs.
• Architect and implement cloud services on Microsoft Azure that integrate model serving endpoints, vector search services, LLM APIs (Azure OpenAI), and eDiscovery platform connectors.
• Collaborate with data scientists to translate ML model outputs into reliable, scalable software services that meet legal defensibility and performance requirements.
• Develop and implement cloud services leveraging Azure Service Bus, Azure Functions, and Kubernetes for high-throughput document processing at multi-million document scale.
• Write detailed non-functional software requirements; analyze requirements for feasibility within time and cost constraints.
• Lead and implement software solutions using SOLID principles, design patterns, defensive programming, and OOP best practices.
• Coach and mentor team members in advanced technologies, integration patterns for AI services, and software engineering best practices.
• Enhance agile engineering processes and advocate for engineering productivity tools and best practices.
• Handle additional duties as assigned.

Skills

C# / .NET

REST APIs

Microservices

Event-driven

Kubernetes

AI/ML integration

Database development

Git / Azure DevOps

AI-assisted tooling

TDD / unit testing

eDiscovery platforms

Tools

Azure

Azure Functions

Cloud services

Job description

Lighthouse is seeking a Senior AI Engineer to join the AI Platform team, tackling advanced eDiscovery AI challenges and delivering production-grade software that blends Predictive AI and Generative AI into review workflows.

You will design and build cloud-native services on Azure, work with data scientists, and ensure defensible, scalable systems for multi-million document scales, with a focus on performance and developer productivity.