We are seeking a talented Software Engineer to join the team of our exceptional client. This role is ideal for a hands-on engineering professional who thrives at the intersection of software development, cloud technologies, and artificial intelligence. You will play a key role in transforming AI concepts into secure, scalable, and production-ready applications, while helping AI engineering teams adopt proven software architecture patterns, development standards, and engineering best practices.
The ideal candidate brings a strong background in enterprise application development, cloud-native solutions, and DevOps practices, along with experience partnering with AI teams to deliver high-performing solutions that can scale beyond proof of concept and into production.
• Remote
• Healthcare Medical, Dental, and Vision Insurance
• 401k
• Design, build, and deploy secure, scalable, and high-performance AI-enabled applications.
• Establish and promote software engineering best practices, including architecture patterns, coding standards, scalability strategies, and secure development principles.
• Lead and participate in code reviews to ensure application quality, maintainability, security, and performance.
• Collaborate closely with AI Engineers to identify and implement the most effective architecture and integration patterns for AI solutions.
• Develop APIs, application services, data integrations, and reusable components to support enterprise AI initiatives.
• Create and maintain project foundations, including repositories, development environments, shared services, and deployment pipelines.
• Integrate AI applications with enterprise platforms and systems to support secure and reliable production deployments.
• Partner with DevOps and platform teams to implement scalable infrastructure, automated deployments, and operational best practices.
• Drive CI/CD processes, testing strategies, release management, and production readiness efforts.
• Utilize modern AI-assisted development tools to accelerate delivery while maintaining engineering quality and governance standards.
• Contribute to architectural decisions and technology selection across multiple projects and initiatives.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline (or equivalent professional experience)
• Strong experience designing and delivering enterprise-grade software applications in production environments
• Proven success introducing software engineering best practices to development teams, including architecture standards, design patterns, scalability approaches, and secure coding practices
• Experience building and supporting AI-powered applications in collaboration with AI Engineers or data science teams
• Working knowledge of AI application patterns such as Retrieval-Augmented Generation (RAG), agent-based workflows, model integrations, and AI observability frameworks
• Strong expertise in Microsoft Azure, including cloud infrastructure, platform services, networking, identity management, and security
• Hands-on experience with DevOps methodologies, CI/CD pipelines, automated testing, and deployment automation
• Experience developing cloud-native applications and services using modern frameworks and technologies
• Strong knowledge of Kafka, FastAPI, containers, Kubernetes, and related application development and deployment technologies
• Experience working with databases and data platforms such as Neo4j, Cosmos DB, PostgreSQL, MongoDB, and similar technologies
• Solid understanding of relational, NoSQL, graph, vector, and event-driven architecture patterns and their appropriate use cases
• Proficiency with GitHub workflows, branching strategies, pull request processes, and source control best practices
• Experience leveraging AI-assisted engineering tools, including GitHub Copilot, Claude Code, or similar technologies
• Excellent analytical, problem-solving, and communication skills
• Experience moving AI solutions from proof of concept through MVP and into full-scale production environments
• Knowledge of AI governance, monitoring, evaluation frameworks, and operational best practices
• Experience working within large enterprise organizations and complex technology ecosystems
• Background in mentoring development teams and driving engineering excellence initiatives
• Familiarity with enterprise integration strategies and distributed system architectures
• Experience supporting multiple concurrent initiatives while balancing delivery timelines and technical quality standards
We are a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact.
Our Vision: To promote and foster the growth of information technology (IT) in our world—one candidate, one client, one community at a time.
Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships.
Our Culture: At MST, we value excellence, respect, and empathy in everything we do.
Ready to take the next step in your career?
Click "Apply Now" and let's start the conversation!
