AI Integration Specialist

AI Software Engineer - Agentic Development & Tooling

Overview

We are seeking an AI-focused Integration Specialist to design and support next-generation, agent-driven development environments. This role will own the end-to-end enablement of AI-assisted engineering workflows-from secure development environments to integrations, tooling, and documentation that allow AI agents to effectively build, test, and deliver software in regulated environments.

This position requires strong hands-on engineering experience, combined with a deep understanding of AI-assisted development tools and workflows. You will partner closely with engineering, product, and security teams to improve internal productivity and support the delivery of AI-enabled product capabilities.

Key Responsibilities

Agentic Development Environment

• Design and maintain secure, isolated development environments that enable AI agents to safely execute tasks such as running builds, executing tests, and analyzing results
• Ensure environments meet strict regulatory, security, and data handling requirements

AI Tooling & Integrations

• Build and maintain integrations that connect AI agents to core engineering systems, including source control, work management tools, CI/CD pipelines, and observability platforms
• Design and implement Model Context Protocol (MCP) or similar integrations to enable seamless agent interaction with internal systems

Documentation & Context Engineering

• Develop and maintain agent-readable documentation (e.g., repository guidance files) that clearly communicate architecture, coding standards, and domain knowledge
• Partner with engineering teams to ensure systems and codebases are structured in ways that are accessible to both humans and AI agents

Agent Skills & Libraries

• Create and manage reusable libraries of agent skills, prompts, and workflows for common engineering tasks such as code generation, testing, code review, and documentation
• Continuously refine agent performance through improved prompts, context, and orchestration patterns

Engineering Enablement

• Collaborate with engineers, QA, product managers, and other stakeholders to identify friction points in AI-assisted workflows
• Improve tooling, documentation, and processes to increase adoption and effectiveness of AI-assisted development
• Enable non-engineering stakeholders to safely contribute through structured, AI-supported workflows

AI Product Integration

• Support the integration of AI capabilities into customer-facing applications, ensuring solutions are secure, observable, and aligned with responsible AI practices

Responsible AI & Governance

• Implement guardrails, validation frameworks, and review processes to ensure AI-generated outputs meet quality, security, accessibility, and compliance standards
• Support adherence to applicable regulatory and industry standards

Continuous Innovation

• Stay current with emerging AI development tools, frameworks, and best practices
• Evaluate and pilot new technologies that improve engineering productivity and product capabilities

Metrics & Optimization

• Define and track metrics related to AI-assisted development effectiveness (e.g., productivity gains, defect rates, task success rates)
• Use data to drive continuous improvement

Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
• 2+ years of professional software engineering experience
• Hands-on experience with AI-assisted development tools and workflows