Job Summary

We are seeking a skilled Full Stack Developer with strong experience in modern JavaScript -based frontend frameworks, backend development, and growing expertise in Generative AI (GenAI) and Large Language Model (LLM) solutions. The role involves building scalable, secure, and AI -powered web applications, integrating intelligent automation, and deploying cloud -native, event -driven architectures.

You will work closely with cross -functional teams—including AI, data, design, and product stakeholders—to deliver end -to -end AI -enabled solutions, from ingestion and model integration to user -facing applications.

Key Responsibilities

Frontend Development

• Develop responsive, high -performance web applications using React or Angular
  
• Build intuitive user interfaces for AI -powered features such as chatbots, intelligent search, recommendations, and dashboards
  
• Ensure cross -browser compatibility, accessibility, and optimal user experience
  

Backend & API Development

• Design, develop, and maintain scalable backend services using .NET, Java, and Python
  
• Build and consume RESTful APIs using frameworks such as FastAPI and Spring Boot
  
• Implement clean, maintainable, well -documented, and reusable code
  
• Troubleshoot, debug, performance -tune, and upgrade existing systems
  
• Participate in code reviews and contribute to best engineering practices
  

GenAI & LLM Solutions

• Develop LLM -powered applications using modern Generative AI design patterns
  
• Build, optimize, and maintain RAG (Retrieval -Augmented Generation) pipelines, including:
  
  • Data ingestion
    
  • Embeddings generation
    
  • Vector storage and retrieval
    
• Evaluate, integrate, and productionize LLM platforms and APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock, Google AI)
  
• Integrate AI -driven capabilities such as conversational interfaces, summarization, recommendations, and intelligent automation
  
• Work closely with AI and data teams to support deployment and usage of machine learning and LLM models in applications
  

Cloud & Event -Driven Systems

• Design and build cloud -native applications on AWS, including:
  
  • AWS Bedrock
    
  • AWS Lambda
    
  • Amazon S3
    
  • DynamoDB
    
• Implement event -driven and asynchronous architectures for scalable systems
  
• Support real -time and near -real -time processing use cases
  
• Optimize applications for performance, scalability, cost efficiency, and reliability
  

Data, Security & Performance

• Work with SQL and NoSQL databases for application and AI workloads
  
• Ensure application security best practices are followed
  
• Optimize applications for maximum speed, scalability, and reliability
  
• Implement proper logging, monitoring, and error -handling strategies
  

Required Skills & Qualifications

Technical Skills

• 4–6 years of professional experience as a Backend OR platform engineering
  
• Strong proficiency in Java & Python
  
• Solid understanding of RESTFUL APIs, web services, and system design
  
• Experience with FastAPI and/or Spring Boot
  
• Practical experience or strong exposure to LLMs, RAG pipelines, or GenAI applications
  
• Hands -on experience with AWS services such as Bedrock, Lambda, S3, DynamoDB
  
• Strong knowledge of SQL and relational databases; exposure to NoSQL databases is a plus
  
• Experience using Git -based version control systems
  

AI & Cloud (Preferred / Plus)

• Basic to intermediate understanding of AI/ML concepts, such as:
  
  • Natural Language Processing (NLP)
    
  • Machine Learning fundamentals
    
  • Generative AI
    
• Experience integrating AI/ML APIs and intelligent automation into web applications
  
• Familiarity with cloud -native, event -driven, and microservices architectures
  

Soft Skills

• Strong problem -solving skills and attention to detail
  
• Excellent communication and collaboration skills
  
• Ability to work effectively in a cross -functional team environment
  
• Willingness to learn, experiment, and adapt to emerging AI technologies
  

Educational Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field
  
  (or equivalent practical experience)