> Markdown version of [/jobs/ext/3590585-full-stack-ai-solution-developer](https://www.wearedevelopers.com/jobs/ext/3590585-full-stack-ai-solution-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack AI Solution Developer - **Company:** Indotronix Avani Group - **Location:** Marietta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $149,157.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Cloud Computing, Databases, Information Engineering, DevOps, Monitoring of Systems, Python (Programming Language), OAuth, OpenShift, Data Logging, Large Language Models, Backend, Agentic-AI, Gitlab, Containerization, Kubernetes, Front End Software Development, Model Context Protocol, Software Version Control, Servicenow - **Published:** October 5, 2026 - **Apply:** https://candidateportal.ceipal.com/job-details/h056WJ-sBh4wdd8DiAb39GgT0K7F9wmwupbrBG-t-yU ## About the Role 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. ## Description 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.