AI Engineer II

CSI; Clayton (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Incentive awards

Competitive salary

Job summary

CSI in Clayton, NC seeks an AI Engineer II to design, build, and support AI platform components and reusable workflows. You will partner with software teams to deliver secure, scalable AI-enabled software, and contribute to production-quality AI applications.

You will work on AI Harness components, evaluation workflows, and tooling, with emphasis on reliability, safety, and developer productivity, including on-call support for AI-enabled services.

Qualifications

• Bachelor's degree in a related technical field or equivalent work experience.
• 5+ years of experience in software engineering, AI/ML engineering, or platform teams.
• Strong programming, API, and cloud-based application development skills.
• Experience with LLM patterns, prompt engineering, and AI tooling is preferred.

Responsibilities

• Develop AI platform components, services, and internal tools.
• Implement model routing, prompts, API integrations, and reusable utilities.
• Improve reliability, performance, and observability of AI tools.
• Provide on-call support and incident remediation for AI services.
• Collaborate with senior engineers to reduce duplication and build libraries.
• Create evaluation workflows, tests, and benchmarks for AI capabilities.
• Assist with release management and lifecycle for prompts and agents.
• Analyze AI behavior for quality, cost, latency, and security concerns.

Skills

Python

API development

Cloud computing

LLM applications

On-call / incident response

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Docker

Job description

Job Description: The AI Engineer II independently develops and supports AI engineering capabilities that enable reusable, secure, and scalable AI-assisted software delivery. This role builds components of the AI Harness, agent frameworks, evaluation systems, and developer workflow tools, while partnering with engineering teams to translate practical delivery needs into reliable AI-enabled solutions. The AI Engineer II contributes to production-quality AI applications and helps improve the consistency, safety, and usefulness of AI-supported engineering workflows.

Develop AI Harness & Platform Capabilities

• Design, build, test, and maintain well-defined AI platform components, services, connectors, and internal tools.
• Implement model routing, prompt execution patterns, API integrations, and reusable utilities aligned to platform standards.
• Improve reliability, performance, observability, and usability of AI engineering tools.
• Support production operations for AI-enabled services, including troubleshooting, monitoring, and issue remediation.
• May be responsible for on‑call rotation and front‑line incident response for AI-enabled production services, including triage, escalation, and remediation.
• Implement agent behaviors, tool calls, structured workflows, and integration logic that support AI‑assisted SDLC use cases.
• Partner with more senior engineers to refine shared libraries and reduce duplicate AI engineering work across teams.
• Build and maintain evaluation workflows for prompts, agents, tools, and AI‑generated outputs.
• Develop automated tests, regression checks, quality benchmarks, and validation approaches for AI‑enabled capabilities.
• Support versioning, release management, rollback readiness, and lifecycle management for prompts, agents, and AI components.
• Analyze model and agent behavior to identify quality, cost, latency, security, or reliability concerns.

Apply AI Security & Governance Controls

• Embed approved logging, access control, data classification, and risk controls into AI‑enabled workflows.
• Work with security and governance partners to address implementation requirements for responsible AI use.
• Validate that AI tools and agents are handling sensitive data appropriately and operating within defined guardrails.
• Support remediation of security, compliance, or audit findings related to AI engineering solutions.

Partner with Engineering Teams on AI‑Assisted Delivery

• Collaborate with software engineering teams to understand delivery pain points and identify AI‑enabled workflow improvements.
• Build examples, templates, and golden‑path patterns that accelerate adoption of shared AI engineering capabilities.
• Support onboarding, technical guidance, and issue resolution for engineering users of AI platform tools.
• Contribute to team standards, documentation, and communities of practice around AI‑assisted development.

Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical field, or equivalent work experience, with typically 5+ years of experience in software engineering, AI engineering, ML engineering, platform engineering, automation, or developer productivity roles.

Strong programming skills are required, preferably in Python and one or more modern application development languages.

Candidates should have 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 is strongly preferred.

As a forward‑thinking software provider, Computer Services, Inc. (CSI) helps community and regional financial institutions solve their customers’ needs through open and flexible technologies. In addition to its award‑winning core banking platform, these include the latest in lending, digital banking, payments, financial crime prevention and cybersecurity. Building on its 60‑year track record of personalized service, CSI is shaping the future of banking and empowering its customers to rival their competition. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, physical and mental disability, marital status, veteran status, or any other characteristic protected by applicable law.

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