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
Requirements
Educational Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
(or equivalent practical experience)
