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, LangSmith 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
