11+ Apache Wicket Jobs in India

• To support and maintain existing Java code base, debug the application 
• To analyse user and business requirements and design and implement appropriate solutions 
• To design and code programs following in-house standards and good design principles 
• To ensure that all programs are documented to the company standards 
• To create unit test plans and perform unit testing of the programs
• To provide advice and guidance to other members of the team

• Hands on experience in designing and developing applications using Java EE platforms 
• Object Oriented analysis and design using common design patterns 
• Good knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) 
• Experience in the Spring Framework 
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) 
• Experience in RESTFul webservices
• Experience with test-driven development 
• Exposure to portal/mobility development - Desired
• Exposure to any of middleware solutions like MQ, Oracle fusion middleware(WebLogic), WebSphere, Open Source

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

• Strong experience in Core Java, Multi-Threading, data structures (List/Map/Set) and unit testing
• with (Junit, Mockito)
•  Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM
• frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres)
•  Strong experience in applying Object-Oriented design principles and Design Patterns
•  Good knowledge of Multi-Tier architecture, Micro Services architecture and Service Oriented
• Architecture 
•  Exposure to AWS Cloud, NoSQL Database (Mongo, Cassandra), Message Broker (Active
• MQ/RabbitMQ/Apache Kafka) and Big Data Technologies (Hadoop/Hive/Spark)
•  Additionally, must possess capability to review code, produce technical specification document
• and knowledge of code quality tools (PMD/FindBugs/Sonar)

Core Experience:

•Experience in Core Java, J2EE, Spring/Spring Boot, Hibernate, Spring REST, Linux, JUnit, Maven, Design Patterns.

• Sound knowledge of RDBMS like MySQL/Postgres, including schema design.

• Exposure to Linux environment.

• Exposure to Docker and Kubernetes.

• Basic Knowledge of Cloud Services of AWS, Azure, GCP cloud provider.

• Proficient in general programming, logic, problem solving, data structures & algorithms

• Good analytical, grasping and problem-solving skills.

Secondary Skills:

• Agile / Scrum Development Experience preferred.

• Comfortable working with a microservices architecture and familiarly with NoSql solutions.

• Experience in Test Driven Development.

• Excellent written and verbal communication skills.

• Hands-on skills in configuration of popular build tools, like Maven and Gradle

• Good knowledge of testing frameworks such as JUnit.

• Good knowledge of coding standards, source code organization and packaging/deploying.

• Good knowledge of current and emerging technologies and trends.

Job Responsibilities:

• Design, Development and Delivery of Java based enterprise-grade applications.

• Ensure best practices, quality and consistency within various design and development phases.

• Develop, test, implement and maintain application software working with established processes.

Work with QA and help them for test automation

• Work with Technical Writer and help them documenting the features you have developing.

Education and Experience:

• Bachelor’s / master’s degree in computer science or information technology or related field

Job Description

Job Summary

• BS/BE/BCA/MSC/MCA degree in Computer Science, Engineering or a related subject
• Hands on experience is preferable in designing and developing applications using Java EE platforms
• Object oriented analysis and design using common design patterns.
• Profound insight of Java and J2EE internals
• Excellent knowledge of Relational Databases and SQL
• Experience in developing web applications using at least one popular web framework (JSF, HTML5, MVC)
• Knowledge on Micro services, Containers / Docker would be added advantage.
• Knowledge on data science would be preferred.
• Exposure to building API, rest service and webservices.
• Exposure to open source like Tensor flow, NIFI, Stream pipes etc.,
• Experience with test-driven development
• Good communication skills and client-oriented attitude
• Organized and detail-oriented person
• Problem solving skills, analytical mind and positive attitude
• Results oriented and focused on meeting deliverable timelines
• Availability to travel, if needed
• Fluency in English is a must

Responsibilities and Duties

• Design and develop features and modules for mission-critical applications
• Build modules on MES products like (SAP, Apriso, Rockwell etc.,)
• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies

Required Experience, Skills and Qualifications
2 - 5 years of hands-on Software Development experience using the below mentioned Technologies

• Java / J2EE
• EJB, JSF, Servlets
• HTML, HTML5
• SQL server / Oracle
• Json, webservice and etc.

Benefits

• Candidate would be Trained on SAP modules.
• Industry best pay.

Job Type: Full-time

• 3 - 6 Years of Experience in Product Development - Experience in Java (8 or 11+), Spring (4+), Spring Boot (2.4+) is a must.
• Understands requirements well and comes up with an efficient design
• Develops complex, well-backed and bug-free products.
• Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Become a go-to person in more than one area.
• Provide technical mentoring to team
• Communicates clearly, gets clarifications, and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design, and code

Ideal Candidate Profile :

• Solid experience in Java, Spring Boot, hibernate is a must.
• Solid experience in Java Multithreading, Streams, and Lambda Functions is a must.
• Solid understanding of Apache Products.
• Should have experience in cloud computing (AWS is desired).
• Has an ability to quickly learn and contribute in multiple codebases
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into the codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces the right tech/tools for a given job
• Excellent understanding of software engineering practices, design patterns, data structures, algorithms
• Experience in product driven organization