17 Aug
|
Important Group
|
Pune
17 Aug
Important Group
Pune
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 contemporary 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:
- Experience integrating AI/ML APIs and intelligent automation into web applications
- Familiarity with cloud -native, event -driven, and microservices architectures