The AI/ML Developer will design, build, and maintain LLM-powered solutions, including custom GPTs and RAG pipelines. They will also develop full-stack AI-enabled applications and support MLOps workflows on cloud platforms like Azure and AWS.
Design, develop, and maintain scalable microservices and web applications using Python, TypeScript, and modern frontend frameworks. Collaborate with cross-functional teams to implement event-driven architectures, workflow automation, and CI/CD pipelines.
Design, develop, and operate platform automation, internal engineering tools, and scalable platform services. Build AI-enabled capabilities for code analysis, workflow automation, and infrastructure management to enhance developer productivity.
You will build, operate, and optimize enterprise observability platforms to provide visibility into applications and infrastructure. This role involves leading telemetry data onboarding, troubleshooting complex production issues, and automating platform deployments using Infrastructure as Code.
Lead the design, development, and modernization of enterprise applications using the Microsoft technology stack and AI-assisted tools. Manage a high-performing engineering team through technical coaching, architecture governance, and the implementation of engineering best practices.
Design, develop, and support enterprise integration solutions, APIs, and middleware components. Collaborate with cross-functional teams to implement CI/CD practices and maintain cloud-native deployments.
Design, develop, and support enterprise API and event-driven integration solutions using API Management platforms and Apache Kafka. Manage the full API lifecycle and implement cloud-native platform engineering practices using Kubernetes and Terraform.
Define the technical strategy and vision for cloud-native microservices while leading technology adoption and mentoring junior engineers. Collaborate with cross-functional teams to optimize system performance and implement continuous process improvements.
Develop, enhance, and maintain best-in-class applications within the Microsoft platform for title insurance and mortgage solutions. Leverage AI, ML, and NLP to deliver innovative R&D solutions for the industry.
Design, develop, and maintain scalable, AI-enabled enterprise applications using a full-stack Microsoft technology stack. The role involves modernizing legacy systems and building secure REST APIs while collaborating with QA and DevOps teams.
Design and maintain internal platforms and Windows Server solutions to streamline development processes and enhance application observability. Lead automation efforts, patch management, and security hardening to ensure scalable and resilient infrastructure.
Lead the technical strategy and architecture for enterprise AWS and Azure platforms to support application modernization. Define security guardrails, networking patterns, and observability frameworks while mentoring engineers and collaborating across multi-cloud teams.
Design and develop scalable backend services and modern frontend applications for the Vestify platform. Collaborate with product and DevOps teams to implement secure APIs, automated testing, and observability monitoring.
Translate high-level business requirements into detailed functional specifications and technical design documents. Collaborate with technical leads and cross-functional teams to solve issues and implement functional alternatives for Oracle ERP modules.
Design and deliver scalable, cloud-native full-stack applications and microservices to modernize legacy business workflows. Collaborate with stakeholders to translate complex functional requirements into secure, event-driven system designs on AWS.
Conduct detailed examinations of commercial property records to produce accurate title commitments and validate chains of title. Support specialized commercial segments and provide guidance on high-complexity title matters to internal and external stakeholders.
