Full Stack AI Solution Developer

Join our forward-thinking technology team as a Full Stack AI Solution Developer. In this vital position, you will architect, build, and sustain next-generation, AI-enabled enterprise solutions with a strong focus on resiliency and operational excellence. You will drive projects from AI prototypes to full-scale operational deployments, working hands-on across the entire technology stack. Collaborate with multidisciplinary teams, leverage cutting-edge AI/LLM tools, and be instrumental in delivering robust, scalable applications that power the organization’s digital transformation., Develop, maintain, and optimize AI-enabled solutions from proof-of-concept through production deployment.

• Design and implement both frontend applications and backend services, ensuring seamless integration and performance.
• Engineer and manage data pipelines, database schemas, and application-data integrations for robust data services.
• Containerize applications with Docker, automate deployments using Helm, and operate solutions within OpenShift/Kubernetes environments.
• Create and sustain GitLab repositories, enforce best practices in code review, branching, and CI/CD automation.
• Integrate authentication and authorization (OAuth 2.0 or similar) into enterprise applications.
• Proactively troubleshoot and resolve issues across application, container, deployment, and data layers.
• Produce high-quality technical documentation, operational runbooks, and troubleshooting guides for long-term support.

5+ years’ full stack software development experience with proven deployment and sustainment of production applications.

• Demonstrated proficiency in frontend and backend development.
• Expertise in GitLab for code management, review, and team collaboration.
• Hands-on experience deploying and supporting applications in OpenShift or Kubernetes environments.
• Strong background in automated build, test, containerization, and deployment practices.
• Solid understanding of data engineering, data modeling, and database integration.
• Proficient with OAuth 2.0 authentication and authorization.
• Skilled at reviewing, validating, and supporting code, including AI-assisted code contributions.

Preferred Skills

• Experience with observability, logging, and monitoring tools.
• Familiarity with ServiceNow or comparable ITSM platforms.
• Background developing or integrating AI-enabled, LLM-based, or agentic solutions.
• Experience with Python-based agentic frameworks such as LangGraph.
• Understanding of Model Context Protocol (MCP), tool calling, skills, agents, and LLM-specific design challenges.
• Adaptable to changing priorities, adept at balancing rapid delivery with maintainability.
• Awareness of responsible AI practices and LLM limitations.

Opportunities for professional growth in AI, cloud, and DevOps domains.

• Collaborative, innovative work environment with exposure to the latest enterprise AI technologies.
• Comprehensive benefits package including health, dental, vision, and retirement plans.
• Flexible work arrangements and ongoing learning resources.