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The QA Network Engineer tests Tufin products, ensuring quality by simulating customer operations and running end-to-end flows. Responsibilities include configuring environments, analyzing software failures, and developing automation tests.
Top Skills:
AWSAzureDockerJavaKubernetesLinux
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and optimize reporting solutions for Oracle HCM. Responsible for report development, data integration, performance optimization, and collaboration across teams.
Top Skills:
Bi PublisherGitHcm ExtractsHdlOracle BiSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The role involves leading the design of integrated transformation solutions in AI, managing teams, and engaging stakeholders for process improvement.
Top Skills:
AIAutomationBpiBpmBprKnowledge ManagementProcess Design
We are seeking a Full-Stack AI Engineer with strong hands-on experience in React, Node.js, and AI/ML technologies. The ideal candidate will design, build, and scale AI-powered web applications, working across frontend, backend, and AI integration layers.
Key Responsibilities- Design and develop end-to-end full-stack applications using React and Node.js
- Build and integrate AI/ML solutions (LLMs, NLP, recommendation systems, chatbots, etc.) into products
- Develop scalable REST / GraphQL APIs and backend services
- Integrate AI models using platforms like OpenAI, Hugging Face, LangChain, or custom models
- Optimize application performance, scalability, and security
- Collaborate with product, data, and design teams to deliver AI-driven features
- Handle deployments, monitoring, and production support
- Minimum 5+years of experience in Java (Java 8 or above).
- Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.
- Experience in building microservices-based architectures.
- Strong knowledge of RESTful web services and API design.
- Experience with databases: Oracle, MySQL, PostgreSQL, or similar.
- Familiarity with Hibernate/JPA.
- Knowledge of banking and financial domain concepts (e.g., payments, loans, accounts, treasury, risk, compliance, etc.).
- Experience with CI/CD pipelines, Git, Maven/Gradle, Jenkins.
- Understanding of security protocols (OAuth2, JWT, encryption, etc.).
- Strong problem-solving and debugging skills.
RequirementsTechnical Skills Required
- Strong experience with React.js (hooks, state management, performance optimization)
- Solid backend expertise in Node.js (Express/NestJS)
- Hands-on experience with AI/ML integration (LLMs, embeddings, vector databases)
- Experience with Python for AI workflows is a plus
- Knowledge of databases (PostgreSQL, MongoDB, Redis)
- Experience with cloud platforms (AWS / Azure / GCP)
- Familiarity with Docker, CI/CD, and microservices architecture
- Experience with LLMs, prompt engineering, RAG pipelines
- Understanding of model inference, fine-tuning, and AI APIs
- Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
- Awareness of AI security, ethics, and performance optimization
- Experience building AI-powered SaaS products
- Exposure to MLOps concepts
- Startup or product-driven development experience
- Strong hands-on coder (not just design/architecture)
- Problem-solver with a product mindset
- Comfortable working end-to-end across the stack
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
