Note: The job is a remote job and is open to candidates in USA. RIT Solutions, Inc. is seeking an AI Engineer with a strong software engineering foundation to build and deploy production-ready AI solutions. The ideal candidate will have experience in full-stack or backend software development and should be skilled in implementing agent-based solutions and integrating AI capabilities into enterprise applications.
Responsibilities
- Implementing agents using established frameworks and technology stacks
- Connecting and orchestrating multiple AI services and agents
- Integrating agents with enterprise systems, tools, and APIs
- Building repeatable and reliable AI automation workflows
- Supporting production deployment and operational readiness
Skills
- Active DoD Secret Clearance
- Strong software engineering foundation
- Full-stack or backend software development experience
- Experience building, deploying, and supporting production applications
- Strong understanding of scalable application design and software architecture
- Experience maintaining reliable, secure, and supportable solutions
- Ability to troubleshoot, optimize, and improve complex systems
- Experience with Large Language Models (LLMs)
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with agentic AI concepts and frameworks
- Experience with AI workflow orchestration
- Experience integrating AI capabilities into enterprise applications
- Experience designing solutions that leverage modern generative AI technologies
- Experience implementing agents using established frameworks and technology stacks
- Experience connecting and orchestrating multiple AI services and agents
- Experience integrating agents with enterprise systems, tools, and APIs
- Experience building repeatable and reliable AI automation workflows
- Experience supporting production deployment and operational readiness
- Understanding of how multiple agents and services interact
- Understanding of common challenges associated with agent reliability and consistency
- Understanding of approaches for building resilient AI-driven workflows
- Understanding of current trends and evolving practices within agentic AI development
- Experience taking AI applications from concept through deployment
- Experience with production support and operational ownership
- Experience with monitoring, observability, and troubleshooting
- Experience with scalability and performance optimization
- Experience with reliability, testing, and governance practices
- Experience with enterprise-grade deployment considerations
- Strong software engineering skills
- Practical AI/LLM implementation experience
- Ability to translate business requirements into technical solutions
- Strong communication and collaboration skills
- Willingness to learn new domains and business processes
- Recent, hands-on experience building solutions utilizing current-generation LLM technologies
- Experience with tool-connected AI systems
- Understanding of Model Context Protocol (MCP)
- Experience integrating AI agents with external tools and services
- Experience with API integrations and enterprise system connectivity
- Familiarity with authentication and authorization patterns
- Knowledge of security considerations surrounding tool-enabled agents
- Understanding of how AI systems interact with business applications and data sources
Company Overview