Sr. Full Stack Developer

About this role

Qualifications:

• 5+ years of professional software development experience with demonstrated depth in full-stack application development, plus at least 1-2 years of hands-on experience building AI-powered applications. The ideal candidate brings both strong software engineering fundamentals and current, practical expertise with the modern AI application stack.
• Required: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent combination of experience and education
• 3+ years of experience with one or more of the following: React or a comparable front-end framework, Node.js or Python back-end development, REST/GraphQL API design, cloud-native deployment (AWS, Azure, or GCP), Docker/Kubernetes, source control (git) and CI/CD pipelines. Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.), vector databases (Pinecone, Weaviate, pgvector, Chroma, etc.), and agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar) is required.
• Expert proficiency in full-stack web development across the complete application stack—front-end (React, Next.js, Vue, or equivalent), back-end (Node.js, Python, Go, or equivalent), REST/GraphQL APIs, relational and NoSQL databases—with a commitment to clean, maintainable, production-quality code
• Hands-on experience designing and building AI-powered applications using the modern AI stack: LLM API integration, retrieval-augmented generation (RAG), vector databases, prompt engineering, AI agents, and AI application orchestration frameworks (LangChain, LlamaIndex, AutoGen, or similar)
• Demonstrated proficiency using AI-based coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) as a core part of daily development workflow; actively advocates for and models AI-augmented engineering practices that improve productivity and quality
• Strong experience with cloud-native application development and deployment (AWS, Azure, or GCP), containeriz...