AI Software Engineer at Pitisci & Associates

AI SOFTWARE ENGINEER]

CONTRACT TO PERM (W2)

NEW YORK, NY

Tampa, Fl

HYBRID

As an AI Software Engineer, you will design and develop robust, cloud-native systems that power intelligent automation and decision-making. You will be a hands-on problem solver—building APIs, Azure Functions, and event-driven services that form the backbone of scalable, AI-ready enterprise applications.

Responsibilities:

· 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 A/I software.

· 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.

Qualifications

· 7–10+ years of professional software development experience in backend or full-stack engineering.

· Proven ability as a hands-on problem solver who can translate complex requirements into reliable, maintainable solutions.

· 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.

· Solid understanding of microservices, serverless architectures, and distributed systems.

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

· Strong communication and collaboration skills; thrives in agile, iterative development environments.

· Practical exposure to AI/ML technologies, including LLMs, RAG, and orchestration tools like LangChain, AutoGen, or Semantic Kernel.

You’ll be part of a team that applies cutting-edge cloud and AI engineering to transform how enterprises operate. You’ll collaborate across disciplines to design intelligent systems that deliver measurable impact—combining technical rigor, creative problem solving, and strategic execution to build the next generation of digital platforms.