{"schemaVersion":"jobsearcher.job.v1","id":"e3f4b568bb5c8fc451338dfb","url":"https://jobsearcher.com/jobs/e3f4b568bb5c8fc451338dfb","canonicalUrl":"https://jobsearcher.com/jobs/e3f4b568bb5c8fc451338dfb","title":"Lead Full Stack AI/ML Software Engineer","description":"Dear All,Vertex Elite is currently seeking a qualified Lead Full Stack AI/ML Software Engineer to join our team.If you or someone in your network might be a fit, please feel free to reach out for more details or share an updated resume.Work Authorization : USC or Any valid USA work authorizationJob Type : ContractLocation : Denver,Colorado(Local candidates are encouraged to apply)Job ResponsibilitiesLead architecture and system design for the engineering team by framing solution options, evaluating technical trade-offs, and driving the team toward optimal design decisions.Establish and maintain stable, well-defined contracts across services, APIs, and application components.Take loosely defined business and technical problems from concept through design, development, testing, deployment, and production delivery across the frontend, backend, data, and infrastructure layers.Design, develop, and maintain scalable backend services using Python and FastAPI, with well-modeled data structures and robust API contracts.Build high-quality React-based frontends with a strong focus on usability, accessibility, responsive design, performance, and maintainability.Design, build, and maintain the data layer using PostgreSQL and Databricks, ensuring data correctness, freshness, scalability, performance, and cost efficiency.Provision, configure, secure, and manage Microsoft Azure cloud resources, including containers, CI/CD pipelines, identity, secrets management, storage, and cloud cost optimization.Design and maintain CI/CD and deployment pipelines to enable reliable, repeatable, and automated software delivery.Integrate AI/ML and LLM-powered capabilities using Azure OpenAI, including retrieval-augmented generation (RAG), embeddings, evaluation, prompt management, and AI guardrails.Design and implement model-backed application features with appropriate evaluation, monitoring, security, and responsible AI practices.Own production reliability and application health, including monitoring, observability, on-call support, incident response, troubleshooting, and performance optimization.Implement strong security practices and ensure safe handling, storage, and processing of sensitive and confidential data.Establish a high technical quality bar through architecture reviews, code reviews, testing standards, and engineering best practices.Mentor and guide engineers, promote technical growth, and support the development of strong engineering practices across the team.Coordinate technical delivery across engineering, data, AI/ML, cloud infrastructure, and product teams.Take ownership of production-ready software, ensuring solutions are scalable, secure, maintainable, observable, and aligned with 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