Posted:2 days ago|
Platform:
On-site
Part Time
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.
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.
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.
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.
Grid Dynamics
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