AI Integration Engineer | Concord, CA / Charlotte, NC / Phoenix, AZ (Onsite)

VY Systems; Concord, Charlotte, Phoenix (CA, NC, AZ); On-site; USD 138,000 - 248,000; Full time

Job summary

VY Systems is seeking an experienced AI Integration Engineer to join the on-site technology engineering team on a contract basis. You will own the design, development, and maintenance of scalable enterprise solutions focusing on AI model integration, LLM deployment, and API orchestration using Python and enterprise integration patterns.

You will collaborate with architects, data scientists, and QA teams to deliver robust backend and full-stack components, optimize distributed systems, and ensure

Qualifications

• 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 hands-on expertise in AI model integration, LLM deployment, API orchestration, Python, and enterprise system integration.
• Deep practical proficiency in core software design principles, API development, and distributed data processing.
• Experience with databases, query optimization, and enterprise data persistence frameworks.
• Excellent written and verbal English communication skills with strong stakeholder collaboration abilities.
• Mandatory local residency and on-site availability for 5-day-a-week C2C operations.

Responsibilities

• 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.
• 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 with solution architects, data scientists, and QA teams throughout the delivery lifecycle.
• Author comprehensive software documentation, API specifications, design documents, and deployment runbooks.
• Participate in code reviews, architecture discussions, and agile sprint planning to ensure high code quality.

Skills

AI model integration

LLM deployment

API orchestration

Python

Enterprise system integration

Distributed systems

English communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD

Job description

Position Summary:

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.

Detailed Job Description:

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 lifecycles. 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 [e-mail], ensuring strict compliance with local residency and on-site C2C presence requirements.

Key Responsibilities:

• 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.

Required Qualifications & Skills:

• 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 English communication skills with strong stakeholder collaboration abilities.
• Mandatory local residency and physical availability for 5-day-a-week on-site C2C operations.

Nice-to-Have Skills:

• Professional certifications relevant to cloud computing, API management, or advanced software engineering.
• Prior professional working experience in banking, financial services, or large corporate enterprise environments.
• Hands-on familiarity with containerization platforms (Docker, Kubernetes) and CI/CD deployment pipelines.
• Experience with modern cloud platforms (AWS, Azure, GCP) and automated testing frameworks.

Application Information:

• Salary/Rate: Market Competitive / C2C Contracting Package
• Deadline: Open until filled (Urgent On-Site Opening – Local C2C Only)
• Notice Period: Immediate Availability Preferred
• Contract Duration: Contract / C2C Engagement (On-Site 5 Days a Week)

Recruitment Pro Tip:

• When applying for this position, ensure your resume explicitly highlights your hands-on technical portfolio matching the role requirements, and confirms your local availability for on-site C2C work.