AI Engineer II

Computer Services, Inc.
United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automation of Tests Software as a Service Information Systems Computer Programming Python (Programming Language) Machine Learning Systems Development Life Cycle Release Management Software Engineering Systems Integration Management of Software Versions
+12 more
Workflow Management Systems Data Logging Data Classification Retrieval-Augmented Generation Large Language Models Prompt Engineering Agentic-AI AI Platforms Information Technology Machine Learning Operations Api Design Api Management

Job description

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.

Build Reusable Agents, Skills & Connectors

  • Develop reusable agents, skills, workflow components, and connectors that can be used across engineering teams.
  • Implement agent behaviors, tool calls, structured workflows, and integration logic that support AI-assisted SDLC use cases.
  • Apply standards for modularity, permissions, traceability, and maintainability.
  • Partner with more senior engineers to refine shared libraries and reduce duplicate AI engineering work across teams.

Implement Evaluation, Testing & LLMOps Workflows

  • 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.

Requirements

  • 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.
  • Candidates should demonstrate sound engineering judgment, strong collaboration skills, and the ability to independently deliver reliable technical solutions in a secure environment.

Benefits & conditions

CSI provides rewarding and challenging career opportunities for our employees. When determining your pay, we consider various factors such as your skills, qualifications, experience and location. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance. We also offer a comprehensive range of benefits. To learn more about our benefits, visit: Benefits Summary

About the company

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. For more information about CSI, visit www.csiweb.com

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