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Fullstack Developer (Java+React)

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Onsite

Fullstack Developer (Java+React)

Integrated Personnel Services

Fullstack Developer (Java+React)

Skills

SQL QueriesDockerReactTypescriptPythonJavaFlutterMicroservicesSpring BootPostgreSQLMachine LearningAIFastAPIFullstack DevelopmentAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Candidate Requirements (Mid-Level Full Stack Developer)

  • 47 years of hands-on experience building and supporting production web applications as a full

stack developer

  • Strong programming experience in Java (preferred) and familiarity with Spring / Spring Boot

frameworks; Python at least at basic proficiency

  • Experience designing and developing backend services and REST APIs, including

authentication/authorization, error handling, and performance considerations

  • Strong hands-on experience with React (TypeScript preferred), including component design,

state management, and consuming APIs

  • Strong experience with databases (SQL required; NoSQL a plus), including schema design,

indexing, query optimization, and data modeling

  • Interest in AI-enabled product features and comfort integrating external APIs/services; prior

AI/ML experience is a plus

  • Working knowledge containerized deployments (Docker)

  • Understanding of Agile methodology (Scrum)

  • Strong analytical and problem-solving skills

  • Ability to work independently and deliver productionready solutions

Skill Set: Primary:

  • Programming Languages: Java (primary), Python (basic proficiency)

  • Backend: Java, Spring / Spring Boot, REST APIs, backend architecture, business logic

implementation

  • Web Development: React (TypeScript preferred), modern front-end patterns; familiarity with

Flutter/FastAPI is a plus

  • Databases: SQL, Postgres, JPA, Hibernate

  • AI Engineering (Exposure): LLM app patterns (RAG), embeddings/vector search, AI agents;

experience integrating model APIs is a plus

  • Cloud & DevOps: Azure, Docker, basic CI/CD concepts

  • Tools & Frameworks: Git; AI frameworks such as LangChain/LangGraph (or similar) a plus

Good to have:

  • Foundational knowledge of AI/ML concepts (e.g., LLM basics, RAG, embeddings/vector search)

and how they are applied in software products

  • Knowledge of microservices architecture

  • Familiarity with DevOps pipelines and cloud deployments

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