Job
Description
AI Fullstack Engineer Experience: 4 - 9 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Angular, AWS HurixDigital (One of Uplers' Clients) is Looking for: AI Fullstack Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Job Description Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
