AI Senior Fullstack Engineer / Integration Specialist

The AI Senior Integration Specialist role focuses on bridging AI/ML capabilities with production-ready enterprise applications. The position involves leading the design and implementation of end-to-end integrations of Large Language Models (LLMs) and Generative AI workflows into web and backend ecosystems, building scalable API layers, managing complex data exchanges, and delivering AI-driven user interfaces.

• 6–8 years of experience in full-stack software development.
• At least 2 years focused on integrating AI/ML services into enterprise environments.
• Deep proficiency in Python with experience in FastAPI, Flask, or Django.
• Expert-level knowledge of Node.js with TypeScript.
• Hands-on experience with React.js or Next.js including Server-Side Rendering and API routes.
• Proven experience integrating LLM APIs (OpenAI, Azure AI, Anthropic).
• Experience with AI orchestration frameworks like LangChain or LlamaIndex.
• Practical understanding of Retrieval-Augmented Generation (RAG), word embeddings, and vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Strong experience designing and consuming RESTful and GraphQL APIs.
• Understanding of event-driven architecture and message brokers (Kafka/RabbitMQ) is a plus.
• Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Mastery of secure authentication and authorization protocols (OAuth2, OpenID Connect, JWT).
• Experience handling sensitive data/PII in compliance with GDPR.
• Proficiency with Docker and experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Solid understanding of microservices architecture, design patterns (Circuit Breaker, Saga), and system scalability.
• Excellent problem-solving skills and ability to communicate complex integration logic to non-technical stakeholders.
• Native or C1-level English proficiency.
• Strong experience working in Agile/Scrum environments using Jira.

• Design and implement robust integrations between AI/ML models (LLMs, proprietary APIs) and enterprise systems.
• Lead the integration of services like OpenAI and Azure AI into production-grade applications.
• Build high-performance backend services using Python (FastAPI/Flask) and Node.js/TypeScript.
• Develop modern, responsive front-end applications using React.js and Next.js.
• Implement Retrieval-Augmented Generation (RAG) patterns and integrate vector databases into application flows.
• Optimize prompts and orchestration workflows (e.g., LangChain) for accuracy and latency.
• Define integration patterns (REST, GraphQL, Event-driven) and microservices architectures.
• Ensure AI-driven workflows are fault-tolerant and scalable.
• Apply security protocols including OAuth and JWT for authentication.
• Ensure strict adherence to data privacy (PII handling) and API security best practices.
• Provide technical mentorship to junior developers.
• Participate in design reviews and sprint planning within an Agile environment.