Fullstack Developer

Key Responsibilities

AI Integration:

• Embed

  Generative AI models

  into backend workflows and customer-facing products.
• Work with AI frameworks, APIs, and orchestration tools to deliver AI-first solutions.

Backend Development:

• 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.

Architecture & Standards:

• Ensure seamless integration of AI into existing enterprise backend architectures.
• Follow organization-wide

  AI-first development guidelines

  to ensure consistency, scalability, and compliance.

Collaboration:

• 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.

Required Skills & Experience

• 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.