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
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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