AI Engineer

CSI

. Develop and support reusable, secure, and scalable AI-assisted software delivery capabilities .

Posted 11/9/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting AI-assisted software delivery capabilities, with strong skills in Python programming, API integrations, and AI platform components. Proven ability to collaborate effectively with engineering teams and implement reliable technical solutions in secure environments.

Highest-signal resume keywords

Python ProgrammingAPI DevelopmentAI Platform EngineeringLLM Application PatternsAutomated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI EngineeringML EngineeringPlatform EngineeringAutomationDeveloper ProductivityPrompt EngineeringModel RoutingIntegration LogicEvaluation Techniques

Soft Skills

CollaborationSound Engineering JudgmentIndependent Problem Solving

Tools & Technologies

AI-Assisted Development ToolsCloud-Based ApplicationsIncident MonitoringLoggingAccess Control

Industry Keywords

Artificial IntelligenceMachine LearningSoftware DevelopmentVersioningRelease Management

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Eligibility for incentive awards based on individual and business performance
Competitive salary
Comprehensive range of benefits
Equal opportunity employment
Recruitment accommodation support