Java Full Stack + AI Developer
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Before you apply
LocationPune, Maharashtra
SenioritySenior
Experience5–8 yrs
Company size1,001–5,000 people
PostedJun 2, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5–8 years of hands-on experience in full stack development
Strong backend development experience with Java, Spring, Spring Boot, Hibernate/JPA, RESTful APIs, Microservices architecture
Frontend development experience using React, JavaScript, TypeScript, HTML5, CSS3
Experience with Node.js for backend or middleware services
Knowledge of Cloud technologies (AWS, Azure, or GCP)—deployments, storage, compute, container services, etc.
Strong communication and collaboration skills
Ability to work independently and take end-to-end ownership
Working knowledge of Python for interacting with core AI/ML services or models
Solid understanding of LLMs, RAG, embeddings, and vector databases
Practical experience building AI agent pipelines
Knowledge of prompt engineering and model fine-tuning techniques
Familiarity with Git, Maven/Gradle, CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.), Docker/Kubernetes basics, SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB)
Experience working in Agile/Scrum environments
Exposure to messaging systems like Kafka or RabbitMQ
Knowledge of security standards (OAuth2, JWT, SSL)
Experience with monitoring tools (Prometheus, ELK, Grafana)
Skills
Java
Spring Framework
Spring Boot
Hibernate
Microservices
React
Node.js
AWS
Azure
GCP
LangChain
LangGraph
OpenAI Assistants
HuggingFace
Python
LLMs
RAG
vector databases
Git
Maven/Gradle
Jenkins
GitHub Actions
GitLab CI
Docker
Kubernetes
MySQL
PostgreSQL
MongoDB
Kafka
RabbitMQ
OAuth2
JWT
SSL
Prometheus
ELK
Grafana
Java Full Stack + AI Developer3
Key Responsibilities
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Design, develop, and maintain backend services using Java, Spring Framework, Spring Boot, and Hibernate.
•
Build and consume Microservices architectures with secure, scalable, and reliable communication.
•
Develop responsive and user-friendly React-based frontend interfaces.
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Implement server-side components and APIs using Node.js where required.
•
Integrate applications with cloud platforms (AWS/Azure/GCP) for deployment, storage, and scalability.
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Experience in building and integrating AI agents using frameworks like LangChain / LangGraph, OpenAI Assistants,
•
HuggingFace.
•
Collaborate closely with cross-functional teams (Product, QA, DevOps, UI/UX).
•
Participate in code reviews, performance optimization, troubleshooting, and debugging.
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Maintain coding standards, documentation, and ensure secure coding practices.
•
Support CI/CD pipelines, containerization, and DevOps activities for smooth deployments.
Required Skills & Qualifications
•
5–8 years of hands-on experience in full stack development.
•
Strong backend development experience with:
•
Java, Spring, Spring Boot
•
Hibernate/JPA
•
RESTful APIs
•
Microservices architecture
•
Frontend development experience using React, JavaScript, TypeScript, HTML5, CSS3.
•
Experience with Node.js for backend or middleware services.
•
Knowledge of Cloud technologies (AWS, Azure, or GCP)—deployments, storage, compute, container services, etc.
•
Strong communication and collaboration skills.
•
Ability to work independently and take end-to-end ownership.
•
Working knowledge of Python for interacting with core AI/ML services or models.
•
Solid understanding of LLMs, RAG, embeddings, and vector databases.
•
Practical experience building AI agent pipelines.
•
Knowledge of prompt engineering and model fine-tuning techniques.
•
Familiarity with:
•
Git, Maven/Gradle
•
CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
•
Docker/Kubernetes basics
•
SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB)
Preferred Qualifications
•
Experience working in Agile/Scrum environments.
•
Exposure to messaging systems like Kafka or RabbitMQ.
•
Knowledge of security standards (OAuth2, JWT, SSL).
•
Experience with monitoring tools (Prometheus, ELK, Grafana).