Sr AI Engineer: 7+ years of experience in designing and developing full-stack AI-enabled applications, integrating AI and Generative AI capabilities
Responsibilities
- Build and deploy GenAI-powered systems, including Retrieval-Augmented Generation (RAG), LLM integrations, and agentic workflows
- Develop, deploy, and maintain Python-based microservices and APIs (FastAPI preferred) to support AI and automation use cases
- Create scalable data models and pipelines to support analytics, AI, and automation workflows
- Implement data quality frameworks, validation checks, and monitoring mechanisms for reliable AI-driven systems
- Collaborate with business and technical teams to identify opportunities and translate them into AI solutions
- Contribute to CI/CD pipelines, DevOps practices, containerization (Docker/Kubernetes), and release management
Qualifications
- 7+ years of experience in designing and developing full-stack AI-enabled applications, integrating AI and Generative AI capabilities
- Robust programming expertise in Python and experience building scalable backend systems
- Experience integrating APIs, microservices, and external AI services into automation workflows
- Experience with containerization and orchestration (Docker, Kubernetes)
- Proficiency in cloud platforms such as AWS or Azure
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 ML Engineer II (Bengaluru)
🏢 UST
📍 Bengaluru
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