AI Engineer (Agentic Systems)

At StarCompliance, we build software that supports critical compliance needs for global clients. We are now embedding AI as a core capability across the entire software development lifecycle., This is not a research or experimentation role. You will work hands-on within real codebases, using modern AI-native development environments (Cursor preferred) to fundamentally change how software is built, tested, and delivered. Your focus is to turn AI from a tool into a system. Repeatable, scalable, and embedded.

You will define and implement playbooks, patterns, and workflows that enable teams to operate with parallel AI agents, autonomous code review, and AI-driven delivery pipelines. You will also help bootstrap new initiatives, ensuring they start with the right architecture, tooling, and AI-enabled engineering practices from day one.

This role sits within R&D Engineering and partners closely with Platform, QA, and Product Engineering. Influence is earned through delivery, not hierarchy., + Leverage agentic patterns such as multi-step execution, tool chaining, and parallelization

• Apply AI across the lifecycle: coding, testing, review, and delivery
• Balance speed with control, operating safely within a regulated SaaS environment
• Deliver measurable improvements in throughput, quality, and developer experienc

Responsibilities

• Design and implement scalable AI-assisted engineering workflows across teams

• Establish playbooks, standards, and best practices for agentic development

• Build and operationalize:

• Task-specific agents (e.g. test generation, refactoring, code analysis)

• Reusable skills, templates, and workflows

• Multi-agent and parallel execution patterns

• Integrate AI into CI/CD pipelines (Azure DevOps preferred), including:

• Autonomous or assisted code review

• AI-driven test generation and maintenance

• Code quality and compliance checks

• Implement automation triggers and hooks to embed AI into the delivery lifecycle

• Work directly within codebases to accelerate delivery and improve quality

• Enable and upskill engineering teams through practical guidance, examples, and training

• Bootstrap new projects with AI-first engineering practices and tooling

• Rapidly prototype and validate new approaches, focusing on real delivery impact

• Ensure all AI-enabled workflows are robust, observable, and production-safe

Core Engineering

• Strong software engineering background (ideally C# / .NET) in cloud-based SaaS environments

• Experience building and operating distributed systems

• Strong understanding of APIs, system design, and modern development practices

• Experience with CI/CD pipelines (Azure DevOps preferred) AI & Agentic Engineering

• Hands-on experience using AI within real development workflows (not standalone tools)

• Deep familiarity with AI-native IDEs (Cursor preferred, or similar)

• Proven experience designing structured AI workflows, including:

• Reusable prompts, skills, or templates

• Multi-step or agent-based execution patterns

• Tool integration and workflow orchestration

• Experience integrating AI into engineering systems, such as:

• CI/CD pipelines

• PR validation and automation

• Developer tooling

• Practical application of AI to:

• Test generation and maintenance

• Code analysis, refactoring, and quality improvement

• Developer productivity at scale

Delivery & Problem Solving

• Track record of delivering production-grade solutions, not just prototypes

• Experience enabling other engineers or teams to adopt new technologies at scale

• Strong problem-solving skills in complex, evolving environments

• Ability to define patterns where none exist and make them usable by others

Important Clarification

• Experience limited to prompt-based tools used in isolation is not sufficient.

• We are looking for engineers who have embedded AI into real engineering systems and workflows and have scaled those practices across team, * Software engineering experience in cloud-based SaaS environments

• Experience designing and evolving enterprise-scale distributed systems

• Demonstrated impact in improving engineering delivery or developer productivity

• Practical experience applying AI within professional engineering workflows

• Experience working within enterprise SaaS platforms

• Right to work in the country of employment

Integrity and Ethics

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.

Ready to start your career?