AI Engineer

Job Description

Design, build, and optimize APIs and Azure Function Apps to deliver performant, reliable, and secure cloud services.

Write clean, maintainable, and testable code in Python, C#, or TypeScript.

Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access patterns.

Implement event-driven architectures leveraging Azure Event Grid, Durable Functions, and API Management.

Rapidly prototype and experiment with new SDKs, APIs, and frameworks to support AI-driven and agentic workflows.

Develop monitoring, observability, and diagnostic tools to ensure reliability and performance.

Apply software engineering best practices, including automated testing, CI/CD, and cloud cost optimization.

Collaborate with peers through code reviews, technical design discussions, and mentorship.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

3-5 years of professional software development experience in backend or full-stack engineering.

Experience with various AI/ML technologies, including LLMs, RAG, and orchestration tools like LangChain, AutoGen, or Semantic Kernel.

Proficiency in C# or Python, with strong knowledge of object-oriented and functional programming principles.

Hands-on experience developing and deploying Azure Functions, APIs, and event-driven systems.

Experience integrating with databases and designing data interaction layers for performance and scalability.

Familiarity with Azure SDKs, Azure Cognitive Services, and cloud security best practices.