AI Integration Engineer

About the job

• Embed Generative AI models into backend workflows and customer-facing products. • Work with AI frameworks, APIs, and orchestration tools to deliver AI-first solutions. • Design, develop, and maintain scalable backend systems using Java, Spring Boot, and microservices architectures. • Build robust, secure, and high-performance APIs and services for enterprise-scale applications. • Ensure seamless integration of AI into existing enterprise backend architectures. • Follow organization-wide AI-first development guidelines to ensure consistency, scalability, and compliance. Responsibilities: • Work closely with product managers, AI engineers, and DevOps teams to deliver end-to-end solutions. • Participate in code reviews, architecture discussions, and best practices sharing. Requirements: AI Integration Experience: • Practical experience integrating LLMs / Generative AI APIs (e.g., OpenAI, Anthropic, Hugging Face, or enterprise-grade equivalents). • Experience with RAG (Retrieval Augmented Generation), embeddings, or AI orchestration frameworks is a plus. • Knowledge of LangChain, LlamaIndex, or LangGraph for agent orchestration. • Experience building AI-driven APIs and services in production. Backend Engineering: • Strong expertise in Java, Spring Boot, REST APIs, and microservices. • Experience with relational and NoSQL databases. • Solid understanding of distributed systems, scalability, and performance optimization. Nice to have: • Understanding of compliance, security, and governance in AI-integrated systems. • Familiarity with CI/CD pipelines, cloud platforms (AWS/Azure/GCP), and containerization (Docker, Kubernetes). • Strong problem-solving skills with the ability to work in large-scale enterprise environments. We offer: • Opportunity to work on bleeding-edge projects • Work with a highly motivated and dedicated team • Competitive salary • Flexible schedule • Benefits package - medical insurance, sports • Corporate social events • Professional development opportunities • Well-equipped office.

Requirements

• Integrating LLMs
• Java
• Spring Boot
• APIs
• Microservices

Qualifications

• Experience with Generative AI APIs
• Java expertise
• Backend experience

Preferred Technologies

• Integrating LLMs
• Java
• Spring Boot
• APIs
• Microservices

Benefits

• medical insurance
• sports
• corporate social events
• professional development opportunities

About the company

Grid Dynamics is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Headquartered in Silicon Valley, the company leverages AI to deliver innovative solutions that drive positive business outcomes for enterprises undergoing digital transformation.