Full Stack AI Engineer

• Design and develop full-stack applications that integrate LLMs and generative AI capabilities into our core product offerings
• Architect and implement scalable frontend solutions using React.js that provide intuitive interfaces for AI-powered features (low code platforms)
• Build robust backend services using Python and Node.js (Typescript) that handle complex AI model interactions and data processing
• Create and optimize APIs for efficient communication between frontend applications and AI services
• Interact with SQL and NoSQL data infrastructure components to ensure efficient data access, retrieval, and augmentation for AI applications
• Collaborate with ML engineers to integrate and optimize AI model deployments
• Implement and maintain CI/CD pipelines for both traditional and AI-enabled components (Kubernetes and GPU resources)
• Ensure high performance and reliability of AI-integrated features across the application stack
• Partner with product and business teams to understand requirements and deliver innovative solutions
  

Qualifications

• 4+ years of professional experience in full-stack development with React.js and Node.js
• Hands-on experience building applications that integrate with LLMs (like GPT models) or other generative AI solutions
• Strong understanding of REST APIs and microservices architecture
• Proficiency in modern Python, JavaScript/TypeScript, and associated tooling and ecosystem
• Experience with AWS cloud services, particularly in deploying and scaling AI/ML workloads
• Solid foundation in system design, data modeling, and RDBMS
• Understanding of AI/ML concepts, particularly in NLP and generative AI applications
• Experience with multi-tenant SaaS architectures and enterprise system integrations
  

Preferred Qualifications

• Experience with AI model deployment and optimization in production environments
• Proficient with prompt engineering and LLM fine-tuning concepts
• Familiarity with vector databases and embedding-based applications
• Experience with real-time data processing using technologies like AWS Kinesis
• Background in FinTech or enterprise software development
• Demonstrated experience in championing the use of AI tools and practices to enhance development productivity and code quality
• MS in Computer Science or related field
  

• React.js/Next.js
• TypeScript
• Modern CSS frameworks
• State management (Redux, Context API)
• Component design and optimization
  

• Node.js (Typescript)
• RESTful API design
• Database design (SQL and NoSQL)
• Message queues and event streaming
• Authentication and authorization
  

• LLM APIs and SDK integration
• Vector databases
• Prompt engineering
• Performance optimization for AI services
  

• AWS cloud services
• Azure AI services
• Docker/Kubernetes
• CI/CD pipelines
• Monitoring and logging