Note: The job is a remote job and is open to candidates in USA. INFT Solutions is seeking a Full Stack / Big Data Engineer with Agentic AI experience. The role focuses on building scalable data-processing pipelines and end-to-end applications, applying Python and AI-assisted coding workflows, and integrating data capabilities with application services.
Responsibilities
- Design, develop, and maintain scalable data-processing pipelines using Big Data technologies
- Build and maintain backend services, APIs, and frontend applications as part of end-to-end Full Stack development
- Develop efficient and maintainable code using Python and other relevant programming languages
- Leverage Agentic AI coding tools and workflows to accelerate software development, debugging, testing, and code optimization
- Integrate data-processing capabilities with application services and downstream systems
- Optimize data pipelines and application performance, scalability, and reliability
- Implement appropriate testing, code reviews, version control, and software engineering best practices
- Collaborate with engineering and cross-functional teams to deliver production-ready solutions
Skills
- Apache Spark, **Apache Flink, Apache Hadoop**. Apache Beam, **Python, Google Cloud Platform and BigQuery.**
- Hands-on experience in Big Data engineering and large-scale data processing
- Practical experience with at least one of the following: + Apache Spark + Apache Flink + Apache Hadoop + Apache Beam
- Experience developing, maintaining, or optimizing data-processing pipelines
- Demonstrable experience developing both frontend and backend applications
- Strong programming and software engineering fundamentals
- Backend development experience using Python, Java, or another relevant language
- Experience building and integrating APIs, services, and application components
- Frontend development experience using technologies such as React, Angular, Vue.js, or equivalent
- Understanding of databases, application integration, debugging, and software testing
- Practical experience applying AI-assisted or agentic coding approaches in software development
- Ability to leverage AI coding tools or agents for code generation, refactoring, debugging, testing, and development productivity
- Understanding of how to validate AI-generated code for correctness, security, maintainability, and performance
- Proficiency in Python for application development, data processing, automation, or AI integration
- Ability to write clean, reusable, testable, and maintainable code
- Experience building Agentic AI applications or integrating LLM-powered workflows would be an advantage, subject to the project's specific requirements
- Experience working with distributed data-processing systems and large datasets
- Familiarity with cloud-based data platforms and modern application deployment practices
- Experience with Git, automated testing, CI/CD, and collaborative software development
- Exposure to LLM frameworks, AI agent orchestration, or enterprise AI integrations
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