Senior AI Engineer

Senior AI Engineer

Location:

USA, Louisville, KY

• Work with Senior Software Engineers and Principal Architects to design, build, and operate core AI platform services.
• Develop, test, and maintain backend services supporting AI agent execution, orchestration, and tool integration.
• Implement RESTful and event‑driven APIs that enable agents to interact with enterprise systems in a secure and auditable way.
• Contribute to the implementation of a centralized tool gateway/mediation layer used by AI agents.
• Integrate enterprise data platforms, APIs, and services through well‑defined contracts and interfaces.
• Deploy and operate services on AWS and Google Cloud with a focus on reliability, scalability, and security.
• Define and follow best practices for containerization and orchestration (Docker, Kubernetes, Helm).
• Establish, maintain, and improve CI/CD pipelines and infrastructure‑as‑code workflows.
• Implement logging, metrics, tracing, and alerts to ensure platform observability.
• Participate in incident response, troubleshooting, and root cause analysis for platform services.
• Mentor junior engineers through code reviews, pairing, and technical guidance.
• Collaborate cross‑functionally with AI engineers, data engineers, security teams, and product partners.
• Participate in Agile ceremonies, including sprint planning, stand‑ups, retrospectives, and backlog grooming.

• Bachelor's degree in computer science, software engineering, or a related field.
• 5+ years of experience in backend software engineering, cloud engineering, or platform development.
• Strong expertise in Python programming.
• Hands‑on experience building and operating services on AWS and/or Google Cloud.
• Solid understanding of microservices architecture, RESTful APIs, and event‑driven systems.
• Experience with SQL and No
  
  SQL databases (e.g., PostgreSQL, DynamoDB, MongoDB).
• Experience with Dev Ops tools and practices, including Git Hub, CI/CD pipelines, Docker, Kubernetes, and Terraform.
• Ability to independently own and deliver engineering tasks and small projects.
• Experience working in Agile/SCRUM teams.
• Strong problem‑solving skills and ability to work in complex systems.

• Exposure to AI/ML platforms, LLM‑based systems, or agent frameworks.
• Experience building or integrating API gateways or mediation layers.
• Experience with messaging and streaming systems (Kafka, Kinesis, Pub/Sub).
• Familiarity with serverless architectures (AWS Lambda, Google Cloud Functions).
• Knowledge of cloud security best practices (IAM, encryption, secrets management).
• Experience with observability tools such as Prometheus, Grafana, or ELK.
• Prior experience mentoring junior engineers or acting as a technical lead on small initiatives.