PUNE · FULLTIME
Java Fullstack Developer
Nexifyr
Pune · onsite · Posted 9d ago
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Section · 01
About this role
About US:
We are founded by industry experts passionate about harnessing the power of artificial intelligence to solve real-world problems. Our comprehensive AI product and services innovation hub spans product design, implementation, model training, and management across various domains.
About the Role
We are seeking an experienced Senior Java Full Stack Developer with strong expertise in Java, Spring Boot, and Angular to build high-performance microservices and modern frontend applications. You will also play a key role in integrating modern AI/ML capabilities and frameworks into our enterprise software suite.
Key Responsibilities
Backend Architecture: Design, build, and maintain scalable microservices using Java (Core Java, Multithreading, Functional Programming) and Spring Boot / Spring REST APIs.
Frontend Development: Architect performant, responsive UIs using Angular (v10+) and TypeScript, applying advanced state management and UI component optimization.
API & System Design: Create resilient RESTful APIs, optimize database queries, and ensure low-latency performance across the application stack.
AI/ML Integration: Implement or collaborate on integrating AI/ML capabilities (LLM APIs, GenAI features, predictive models, or vector databases) into full-stack workflows.
Quality & Performance: Drive code reviews, optimize multithreaded systems, maintain strong test coverage, and champion engineering best practices.
Requirements & Technical Skills
Core Backend: 6–7 years of hands-on experience in Core Java (advanced multithreading, concurrency, OOP, functional programming/Streams) and Spring Framework (Spring Boot, Spring Security, Spring Data, Spring REST).
Frontend: Strong expertise in Angular (version 10 or higher) and TypeScript, including component architecture, RxJS, lazy loading, and UI performance tuning.
Architecture: Hands-on experience with Microservices Architecture, API design, and asynchronous communication patterns.
AI Exposure: Practical exposure or hands-on experience integrating AI/ML frameworks or API services (e.g., OpenAI API, LangChain, Azure AI, AWS Bedrock, or custom ML models) into enterprise applications.
Database & Cloud: Strong understanding of relational/non-relational databases and experience working with cloud environments (AWS / Azure / GCP) and CI/CD pipelines.
Why Join Us
Work on cutting-edge full-stack architectures powered by emerging AI technologies.
Collaborative culture with direct ownership over end-to-end features.
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Section · 02