Senior AI Full Stack Developer

We are seeking a Senior AI Full Stack Developer who combines strong software engineering fundamentals with AI-augmented development practices. The ideal candidate is a self-starter with a solid Computer Science foundation, production-grade coding discipline, and demonstrated use of modern AI tooling - including prompt engineering and agentic coding workflows.

This role is central to delivering enterprise-grade solutions.

Responsibilities

Design, develop, test and deploy production-ready AI-driven full stack applications Develop backend services including APIs, microservices and data pipelines along with modern frontend interfaces Write high-quality, maintainable and testable code while leveraging AI coding assistants to accelerate delivery without compromising quality Integrate AI/ML models into enterprise systems ensuring reliability, scalability and performance Apply advanced prompt engineering techniques for code generation, refactoring, debugging, testing and documentation Design and implement agentic development workflows where AI agents handle multi-step tasks Review, validate and refine AI-generated code to meet production, security and architectural standards Continuously explore and adopt emerging AI development tools, frameworks and best practices Collaborate with Solution Architects, Product Owners and cross-functional teams to translate requirements into technical solutions Participate in code reviews focused on quality, security and engineering excellence Troubleshoot and resolve complex full stack technical issues Requirements 5+ years of professional software development experience delivering production systems 4+ years of experience in at least one primary programming language such as Python (preferred), TypeScript/JavaScript, Java, C# or Go Bachelor’s degree in Computer Science, Software Engineering, Mathematics or related field; Master’s preferred Strong foundation in computer science fundamentals including data structures, algorithms, systems design and database theory Solid understanding of design patterns, SOLID principles, clean architecture and distributed systems Proven ability to write clean, performant and production-ready code with strong ecosystem knowledge Experience with at least one additional language or stack for full stack development Hands-on experience with modern frameworks such as FastAPI, Django, Next.

js or React Experience working with relational, non-relational and vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector) Production experience with RAG architectures and LLM-based systems Experience with agentic workflows and multi-agent systems including tool use, planning and memory Familiarity with major LLM APIs such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock or Azure OpenAI Strong prompt engineering and optimization skills Practical experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or Amazon Q Developer Experience with at least one cloud platform (AWS, Azure or GCP) Familiarity with Docker, CI/CD pipelines and infrastructure-as-code Self-starter mindset with ability to independently drive tasks and solve problems Strong analytical thinking, communication and collaboration skills Experience working in Agile/Scrum environments Passion for continuous learning in AI and software engineering Nice to have Experience with model fine-tuning or training custom AI models Familiarity with LLM evaluation and observability tools such as RAGAS, Lang.

Smith or Weights & Biases Experience with event-driven architecture and streaming systems Knowledge of AI security best practices Open-source contributions or technical writing experience Experience with graph databases such as Neo4j