AI Integration Engineer | CA​/Phoenix, AZ; Onsite

We are actively seeking an experienced, high-caliber, and technical AI Integration Engineer to join our client’s technology engineering team on a contract basis on-site (local C2C candidates only). In this critical technical role, you will be responsible for designing, developing, implementing, and maintaining robust enterprise solutions focusing on AI model integration, LLM deployment, API orchestration, Python, and enterprise system integration. You will leverage your deep specialist expertise in modern software engineering, distributed systems, and backend integration to deliver uncompromised system scalability, performance, and operational excellence.

This opportunity offers competitive C2C compensation, executive technical visibility, and exceptional career growth prospects within a premier financial services and technology consultancy environment.

As a AI Integration Engineer supporting our enterprise client operations, you will take full operational, tactical, and technical ownership of software development, architecture design, system integration, and software delivery life cycles. Your day-to-day responsibilities include building scalable backend and full-stack components, implementing advanced data processing and API integration workflows, optimizing performance across distributed systems, troubleshooting software bugs and bottlenecks across development and production environments, and collaborating closely with solution architects, data scientists, and quality assurance squads.

You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex technical anomalies under strict enterprise delivery schedules. Furthermore, you will manage application requirements by sending your updated resume via direct email to Kayalvizhi at , ensuring strict compliance with local residency and on-site C2C presence requirements.

• Design, develop, test, and maintain scalable enterprise applications and distributed software components.
• Implement robust AI model integration, LLM deployment, API orchestration, Python, and enterprise system integration solutions adhering to enterprise security and performance standards.
• Integrate backend microservices and data pipelines seamlessly with RESTful APIs and enterprise databases.
• Develop responsive user interfaces and robust server-side logic to support complex enterprise workflows.
• Troubleshoot, debug, and resolve software defects, performance bottlenecks, and integration failures across environments.
• Collaborate effectively with cross-functional software engineering squads, product managers, and QA testing teams.
• Author meticulous software documentation, API endpoint specifications, technical design documents, and deployment runbooks.
• Participate in code reviews, architecture discussions, and agile sprint planning sessions to ensure high code quality.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
• Minimum of 6+ years of progressive professional experience in software engineering and enterprise technology development.
• Strong, demonstrable hands-on professional expertise in AI model integration, LLM deployment, API orchestration, Python, and enterprise system integration and modern technology stacks.
• Deep practical proficiency in core software design principles, API development, and distributed data processing.
• Solid practical experience with databases, query optimization, and enterprise data persistence frameworks.
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under mission-critical conditions.
• Excellent written and verbal…