AI Engineer
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Job Description
AI Engineer building reusable agents, evaluation systems, and secure AI tools for CSI’s banking technology platform. Supporting scalable AI-assisted software delivery across engineering teams.
Responsibilities:
- Develop and support reusable, secure, and scalable AI-assisted software delivery capabilities
- Design, build, test, and maintain AI platform components, services, connectors, and internal tools
- Implement model routing, prompt execution patterns, API integrations, and reusable utilities
- Improve reliability, performance, observability, and usability of AI engineering tools
- Support production operations, troubleshooting, monitoring, incident triage, escalation, and remediation
- Develop reusable agents, skills, workflow components, and connectors for engineering teams
- Implement agent behaviors, tool calls, structured workflows, and integration logic
- Build and maintain evaluation workflows, automated tests, regression checks, benchmarks, and validation approaches
- Support versioning, release management, rollback readiness, and lifecycle management for AI components
- Analyze model and agent behavior for quality, cost, latency, security, and reliability concerns
- Embed logging, access control, data classification, and risk controls into AI workflows
- Collaborate with security and governance partners on responsible AI requirements
- Partner with software engineering teams to identify AI-enabled workflow improvements
- Build examples, templates, and golden-path patterns to accelerate adoption
- Support onboarding, technical guidance, issue resolution, documentation, and communities of practice
Requirements:
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical field, or equivalent work experience
- Typically 3–5 years of experience in software engineering, AI engineering, ML engineering, platform engineering, automation, or developer productivity roles
- Strong programming skills, preferably in Python and one or more modern application development languages
- Experience building APIs, services, integrations, automated tests, and cloud-based applications
- Experience with LLM application patterns, prompt engineering, RAG, agent frameworks, LLMOps, evaluation techniques, or AI-assisted development tools strongly preferred
- Sound engineering judgment
- Strong collaboration skills
- Ability to independently deliver reliable technical solutions in a secure environment
- Must be authorized to work in the United States without visa sponsorship now or in the future
Benefits:
- Eligibility for incentive awards based on individual and business performance
- Competitive salary
- Comprehensive range of benefits
- Equal opportunity employment
- Recruitment accommodation support
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