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# Software Developer (AI/Python)

- **Company:** LTI, Inc.
- **Location:** Schenectady, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Applications Architecture, Software Applications, Cloud Computing, Computer Programming, Continuous Integration, DevOps, Programming Tools, Python (Programming Language), Software Deployment, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models, Api Design, Service Stack
- **Published:** August 15, 2026
- **Apply:** https://www.dice.com/job-detail/1d4fcc7a-1bf0-4087-adf7-7fe0eea30871

## About the Role

* 5+ years of software engineering or application development experience
 * Strong programming experience with Python
 * Hands-on experience developing AI-powered applications, AI agents, or AI assistants
 * Experience working with LLMs and modern AI development tools
 * Experience with AWS and cloud-based application development
 * Understanding of DevOps, CI/CD, and application deployment practices
 * Experience building APIs, automation, and software integrations
 * Strong understanding of enterprise application development
 * Ability to identify opportunities for AI, automation, and process improvement
 * Strong problem-solving skills and ability to work independently
 * Comfortable collaborating with researchers, engineers, IT teams, and technical stakeholders.

## Description

* Design, build, and integrate AI-powered applications, including AI agents, AI assistants, and AI monitoring solutions
 * Explore and implement emerging AI technologies to improve productivity, automation, and operational efficiency
 * Develop enterprise applications and supporting services using Python and modern application development practices
 * Build and support cloud-based solutions using AWS
 * Develop automation that streamlines IT, engineering, and research workflows
 * Build solutions for ingesting and processing HPC data to support advanced use cases such as predictive maintenance
 * Integrate AI capabilities with enterprise applications, data sources, and existing systems
 * Support DevOps, CI/CD, application deployments, and cloud infrastructure
 * Monitor application and AI system performance and identify opportunities for improvement
 * Work with research and engineering teams to identify problems where AI, automation, or software can provide meaningful solutions
 * Evaluate emerging AI tools and frameworks and recommend opportunities for adoption
 * Troubleshoot application, integration, and deployment issues across the technology stack
 * Document solutions, processes, and application architecture


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