Lead Full Stack Developer (GenAI Applications) Position: Lead Full Stack Developer (GenAI Applications) Location: Ahmedabad,Pune Required Experience: 7+ Years Preferred Immediate Joiner Apply now Inferenz is a pioneering AI and Data Native company dedicated to transforming how organizations leverage data and AI to drive innovation and efficiency. As industry leaders, we specialize in delivering cutting-edge AI and data solutions that empower businesses to harness the full potential of their data assets. We are seeking an experienced Senior Full Stack Developer to join our team building innovative Generative AI (GenAI) based applications. The ideal candidate will have a strong background in developing scalable RESTful APIs using Python, as well as modern frontend applications with Node.js or React. Experience with cloud platforms (Azure or AWS), Kubernetes, microservices architecture, and version control (Git or Azure Repos) is essential. Familiarity with AI/ML/GenAI technologies and Agenting AI is highly valued. Key Responsibilities: Full-Stack Development: Design, build, and maintain scalable RESTful APIs using Python and frontend applications using Node.js or React. GenAI Integration: Develop and optimize Agenting AI components using Python, ensuring seamless integration with backend services. Cloud Deployment: Manage application deployment, scaling, and monitoring on Azure or AWS using Kubernetes and microservices architecture. Collaboration: Work with cross-functional teams using Jira and Confluence for project tracking and documentation. Performance Optimization: Ensure high availability, security, and efficiency of applications through robust coding practices and infrastructure management. Required Skills Experience: Backend: Strong expertise in Python and REST API development. Frontend: Proficiency in Node.js, React, and modern JavaScript frameworks. Cloud DevOps: Hands-on experience with Azure or AWS, Kubernetes, microservices, and Git or Azure Repos for version control. Tools: Familiarity with Jira, Confluence, and CI/CD pipelines. Experience: 5+ years in full-stack development with production-grade applications. Preferred Skills: AI/ML Knowledge: Understanding of GenAI tools (e.g., LangChain, LLMs, RAG/GraphRAG/MCP architectures) and Agenting AI development. Cloud AI Services: Experience with cloud-based AI platforms (e.g., AWS Bedrock, Azure AI). Architecture: Proficiency in designing scalable systems and troubleshooting distributed environments. What We Offer: Competitive salary and comprehensive benefits package. Flexible work hours and a hybrid working model to support work-life balance. Opportunities for professional growth and development in a cutting-edge technology environment. Exposure to Generative AI and other advanced technologies. Inferenz is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Perks: Flexible Timings 5 Days Working Healthy Environment Celebration Learn and Grow Build the Community Medical Insurance Benefit

Inferenz is a pioneering AI and Data Native company dedicated to transforming how organizations leverage data and AI to drive innovation and efficiency. As industry leaders, we specialize in delivering cutting-edge AI and data solutions that empower businesses to harness the full potential of their data assets. We are seeking an experienced Senior Full Stack Developer to join our team building innovative Generative AI (GenAI) based applications. The ideal candidate will have a strong background in developing scalable RESTful APIs using Python, as well as modern frontend applications with Node.js or React. Experience with cloud platforms (Azure or AWS), Kubernetes, microservices architecture, and version control (Git or Azure Repos) is essential. Familiarity with AI/ML/GenAI technologies and Agenting AI is highly valued. Key Responsibilities: Full-Stack Development: Design, build, and maintain scalable RESTful APIs using Python and frontend applications using Node.js or React. GenAI Integration: Develop and optimize Agenting AI components using Python, ensuring seamless integration with backend services. Cloud Deployment: Manage application deployment, scaling, and monitoring on Azure or AWS using Kubernetes and microservices architecture. Collaboration: Work with cross-functional teams using Jira and Confluence for project tracking and documentation. Performance Optimization: Ensure high availability, security, and efficiency of applications through robust coding practices and infrastructure management. Required Skills & Experience: Backend: Strong expertise in Python and REST API development. Frontend: Proficiency in Node.js, React, and modern JavaScript frameworks. Cloud & DevOps: Hands-on experience with Azure or AWS, Kubernetes, microservices, and Git or Azure Repos for version control. Tools: Familiarity with Jira, Confluence, and CI/CD pipelines. Experience: 5+ years in full-stack development with production-grade applications. Preferred Skills: AI/ML Knowledge: Understanding of GenAI tools (e.g., LangChain, LLMs, RAG/GraphRAG/MCP architectures) and Agenting AI development. Cloud AI Services: Experience with cloud-based AI platforms (e.g., AWS Bedrock, Azure AI). Architecture: Proficiency in designing scalable systems and troubleshooting distributed environments. What We Offer: Competitive salary and comprehensive benefits package. Flexible work hours and a hybrid working model to support work-life balance. Opportunities for professional growth and development in a cutting-edge technology environment. Exposure to Generative AI and other advanced technologies. Inferenz is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking a highly skilled and motivated Lead Cloud Engineer with over 6 years of experience in designing, implementing, and managing scalable, secure, and highly available cloud solutions. The ideal candidate will have deep knowledge of cloud platforms (AWS, Azure, or GCP), strong leadership capabilities, and a hands-on approach to infrastructure automation and DevOps practices. Key Responsibilities: Lead the architecture, design, and implementation of enterprise-grade cloud infrastructure solutions. Collaborate with DevOps, Security, and Development teams to ensure robust CI/CD pipelines and cloud-native application deployment. Evaluate and select appropriate cloud services and tools based on business and technical requirements. Drive automation across infrastructure provisioning, configuration management, and application deployment. Monitor system performance, ensure high availability, and proactively resolve any issues. Implement cloud cost optimization strategies and maintain operational budgets. Enforce security best practices and compliance standards across cloud environments. Mentor junior engineers and provide technical leadership across cross-functional teams. Maintain documentation and architectural diagrams for cloud environments and processes. Stay current with emerging technologies and propose innovations that improve business outcomes. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 6+ years of experience in cloud engineering, including at least 3 years in a leadership or senior technical role. Expertise in at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP) . Proficiency in IaC tools such as Terraform, CloudFormation, or Pulumi . Strong scripting skills using Python, Bash, or PowerShell . Experience with CI/CD tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps . Deep understanding of networking, security, identity & access management in the cloud. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes . Strong analytical, problem-solving, and troubleshooting skills. Excellent verbal and written communication skills. Preferred Qualifications (Nice to Have): Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect). Experience with serverless architectures and event-driven systems. Familiarity with monitoring tools like Prometheus, Grafana, Datadog, or CloudWatch . Experience leading cloud migration or modernization projects.