AI Integration Engineer | VY Systems | Concord / Charlotte / Phoenix

VY Systems; Concord, Charlotte, Phoenix (CA, NC, AZ); On-site; USD 140,000 - 210,000; Full time

Job summary

VY Systems is seeking an experienced AI Integration Engineer to join a client project on a contract basis. The role focuses on integrating AI models, LLMs, and ML services with enterprise platforms and data pipelines on-site across Concord, CA; Charlotte, NC; and Phoenix, AZ.

You will design, implement, and validate RESTful APIs, gRPC, and event-driven connectors, using Docker and Kubernetes for deployment, while collaborating with data scientists, ML engineers, and architects to ensure

Qualifications

• Bachelors in CS/AI/SE or related technical field.
• 5+ years in software engineering, systems integration, or AI engineering.
• Hands-on Python development and backend API integration.
• Knowledge of AI/ML frameworks, LLM integration, and MLOps deployment.
• Proficiency with Docker and Kubernetes for container orchestration.
• Experience with enterprise messaging, event-driven architectures, and DB connectivity.
• Local availability for Concord, CA; Charlotte, NC; or Phoenix, AZ under C2C contract.

Responsibilities

• Design, architect, develop, test, and maintain AI/ML integration pipelines with enterprise systems.
• Build, secure, and scale RESTful APIs and gRPC services and data connectors.
• Operationalize LLMs and ML workflows in production environments.
• Collaborate with data scientists, ML engineers, and software architects on deployments.
• Configure and scale containerized deployments using Docker and Kubernetes.
• Perform end-to-end integration testing, security hardening, and latency optimization.
• Troubleshoot data synchronization issues, API failures, and network bottlenecks.
• Document system interfaces, data flows, and runbooks.

Skills

Python

API integration

LLM integration

MLOps

English communication

Education

Bachelor’s degree in Computer Science or related

Tools

Docker

Kubernetes

Job description

Position Summary

VY Systems is actively seeking an experienced, high-caliber, and technical AI Integration Engineer with a strong professional background in artificial intelligence systems integration, machine learning pipeline deployment, and enterprise software engineering to join our client project on a contract (C2C, local candidates only) on-site basis across Concord, California, Charlotte, North Carolina, and Phoenix, Arizona. In this critical integration engineering role, you will be responsible for connecting advanced AI models, Large Language Models (LLMs), and machine learning services with core enterprise platforms and data pipelines. You will leverage your deep specialist expertise in API integration, Python development, MLOps tooling, and cloud architectures to deliver uncompromised system interoperability, high performance, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital consulting enterprise.

Detailed Job Description

As an AI Integration Engineer supporting VY Systems across Concord, CA, Charlotte, NC, and Phoenix, AZ, you will take full operational, tactical, and technical ownership of artificial intelligence integration workflows, API development, pipeline orchestration, and system interoperability. Your day-to-day responsibilities include designing, developing, testing, and maintaining robust integration pipelines linking AI/ML models with enterprise software applications, building and securing RESTful APIs, gRPC endpoints, and event-driven data streaming connectors, collaborating closely with data scientists, ML engineers, and enterprise architects to operationalize AI solutions, configuring and managing containerized deployment environments using Docker and Kubernetes, conducting rigorous end-to-end integration testing, performance benchmarking, and latency optimization, troubleshooting and resolving complex data synchronization failures, network bottlenecks, and API integration errors, maintaining comprehensive technical documentation of system interfaces, data flows, and deployment runbooks, and managing corp-to-corp (C2C) local engagement requirements. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex integration anomalies under strict project delivery timelines. Moreover, you will manage application requirements.

Key Responsibilities

• Design, architect, develop, test, and maintain robust integration pipelines connecting AI/ML models with enterprise systems.
• Build, secure, and scale high-performance RESTful APIs, gRPC services, and event-driven data connectors.
• Operationalize advanced Large Language Models (LLMs) and machine learning workflows within production environments.
• Collaborate seamlessly with data scientists, ML engineers, and software architects to ensure smooth model deployment.
• Configure, manage, and scale containerized deployment platforms utilizing Docker and Kubernetes.
• Execute rigorous end-to-end integration testing, security hardening, and performance latency optimization.
• Troubleshoot, debug, and resolve complex data synchronization errors, API failures, and network communication bottlenecks.
• Maintain comprehensive technical documentation of system integration architectures, API contracts, and operational logs.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Minimum of 5+ years of progressive professional experience in software engineering, systems integration, or AI engineering.
• Strong, demonstrable hands‑on professional expertise in Python software development and backend API integration.
• Comprehensive working knowledge of AI/ML frameworks, LLM integration principles, and MLOps deployment pipelines.
• Deep practical proficiency in container orchestration tools including Docker and Kubernetes.
• Solid practical experience in enterprise messaging systems, event‑driven architectures, and database connectivity.
• Proven background in corp-to-corp (C2C) contracting models with mandatory local availability in Concord, CA, Charlotte, NC, or Phoenix, AZ.
• Exceptional analytical, troubleshooting, debugging, and problem‑solving capabilities under high‑pressure conditions.
• Excellent written and verbal English communication skills with strong technical coordination and collaboration abilities.
• Mandatory legal work eligibility and physical availability for full‑time on‑site operations in Concord, CA, Charlotte, NC, or Phoenix, AZ (Local candidates only).

Nice-to-Have Skills

• Professional certifications such as AWS Certified DevOps Engineer, Google Cloud Professional Machine Learning Engineer, or equivalent.
• Prior professional working experience in top‑tier technology consultancies, enterprise software houses, or financial institutions.
• Hands‑on familiarity with vector databases (Pinecone, Milvus), retrieval‑augmented generation (RAG), and LangChain frameworks.
• Experience implementing enterprise security standards, OAuth/JWT authentication, and API gateway management.