APIs Integrations and Data
Develop and maintain REST APIs, web services, webhooks, and integrations connecting AI solutions with enterprise applications and data sources.
Implement authentication, data transformation, error handling, logging, and monitoring in accordance with established enterprise standards.
Work with structured and unstructured data and collaborate with data, application, infrastructure, and security teams to resolve integration dependencies.
Build solutions that securely access and use enterprise data within approved access controls, privacy requirements, and governance guardrails.
Solution Delivery and Support
Translate documented business and technical requirements into working solutions, estimates, development tasks, and test plans.
Create prototypes and proofs of concept, then harden validated solutions for deployment and ongoing use.
Participate in code reviews, testing, release management, deployment, and production support activities.
Monitor deployed solutions, investigate defects and performance issues, and implement fixes and enhancements.
Maintain technical documentation, configuration details, support procedures, and reusable development guidance.
Partner with users and IT teams to validate outcomes, support adoption, and identify practical improvements.
Standards Security and Responsible AI
Develop solutions within the AI architecture, technical standards, security controls, and governance framework established by IT leadership.
Apply secure coding, data protection, testing, and responsible AI practices throughout the development lifecycle.
Identify technical, security, data, or model risks and escalate design decisions or exceptions to the appropriate architecture, security, or governance owners.
Contribute implementation feedback and lessons learned to help improve shared engineering patterns and standards.
Requirements
Bachelor's degree in Computer Science, Information Technology, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
3+ years of professional software engineering or application development experience, including experience delivering and supporting production solutions.
Hands-on experience developing AI, generative AI, machine learning, intelligent automation, or advanced analytics solutions.
Proficiency in at least one general-purpose programming language commonly used for AI development, such as Python, C#, Java, or JavaScript/TypeScript.
Experience building and consuming REST APIs, web services, JSON payloads, webhooks, and system integrations.
Experience with cloud platforms, source control, testing, debugging, deployment, monitoring, and production support practices.
Working knowledge of authentication and authorization methods, secure coding principles, data privacy, and enterprise integration patterns.
Ability to understand business requirements, communicate technical tradeoffs, and independently execute development work
Preferences
Experience with platforms or services such as Azure AI, Azure OpenAI, Microsoft Copilot Studio, OpenAI, Anthropic, Google Gemini, AWS AI Services, or similar technologies.
Experience building AI agents, tool-calling workflows, prompt orchestration, and retrieval-augmented generation solutions.
Experience with vector databases, semantic search, embeddings, model evaluation, observability, or AI safety tooling.
Experience integrating with enterprise platforms such as Microsoft Dynamics, Workday, Power Platform, Databricks, or similar business applications.
Experience with Azure integration and application services, containerized applications, CI/CD pipelines, or infrastructure automation.
Familiarity with responsible AI practices, model risk, data governance, and human-in-the-loop review patterns.
Candidates with additional and relevant experience, education, licensing, or certification beyond the role’s requirements and/or specific to the nature of Prolink’s business will be given additional consideration in the candidate selection process. If all minimum requirements are met, candidates with unique and/or diverse qualifications will also be given additional consideration.
