Senior Full-Stack AI Engineer

In this position, you'll be part of a cross-functional squad focused on developing AI-enhanced web applications. You'll work across the stack - from integrating large language models (LLMs) into production systems to designing frontends that make AI interactions intuitive and trustworthy. Rather than writing code line-by-line, you'll orchestrate modern AI systems that augment the engineering process itself and create real user impact.

What You'll Do

• Integrate large language models (LLMs) such as OpenAI, Claude, or Gemini into production features that solve real user problems.
• Build AI pipelines using frameworks like LangChain or LlamaIndex, designing prompts and workflows for accuracy, scalability, and cost-efficiency.
• Develop intuitive frontends in React/TypeScript that make AI capabilities clear, actionable, and user-friendly.
• Design real-time AI interactions and feedback loops that allow users to refine outputs directly within the interface.
• Build and maintain scalable microservices in Java/Spring Boot to orchestrate AI systems, manage state, and ensure reliability across distributed environments.
• Collaborate closely with product, platform, and AI engineers to translate business requirements into measurable, high-impact features.
• Implement robust error handling, testing, and monitoring strategies for AI-powered features in production.
• Contribute to a culture of experimentation and continuous improvement through code reviews, demos, and knowledge sharing.

Do you have experience in TypeScript?, * 4-6 years of experience as a Full-Stack Engineer (React + Java/Spring Boot or similar stack).

• Hands-on experience integrating AI/LLMs into production systems (minimum 6 months).
• Familiarity with LangChain, LlamaIndex, or custom AI pipelines.
• Strong understanding of microservices, RESTful APIs, and state management.
• Experience with CI/CD, testing, and agile development practices.
• Excellent communication skills and an outcome-oriented mindset.
• Curiosity for emerging AI engineering technologies and frameworks.

Nice to Have

• Experience in SaaS, InsurTech, PropTech, or other regulated industries.
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant).
• Background in computer vision or NLP.
• Contributions to open-source AI/ML projects.
• Knowledge of Kotlin or mobile development.

Are you passionate about building next-generation software that combines modern full-stack engineering with intelligent AI-driven features?, * Build real-world AI-native software used by thousands of professionals. * Collaborate in outcome-focused squads that value experimentation and learning. * Work with a modern tech stack - React, TypeScript, Java, Spring Boot, LangChain, LlamaIndex, OpenAI, Claude, Gemini. * Access to ongoing learning opportunities, conferences, and professional growth in AI engineering.