Lead AI Engineer I - R01571162

Job description

**Lead AI Engineer I** ### Job requirements **Experience Range:** With at least 4 to 6 years of experience in ML engineering, including hands-on work with cloud-native architectures, agentic AI frameworks, and scalable full-stack systems **Key Responsibilities:** - Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks - Develop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCP - Build and implement agentic AI applications, including multi-agent systems and autonomous workflows - Develop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalability - Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows - Ensure best practices in code quality, testing, debugging, observability, and performance optimization - Collaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisions **Required Skills:** - Advanced proficiency in Python and JavaScript/TypeScript - Experience with frontend frameworks such as React, Angular, or Vue - Backend expertise with Node.js, Java Spring Boot, or Python (FastAPI, Django) - Hands-on experience with cloud platforms (Azure, AWS, GCP) - Proficiency in containers (Docker) and basic understanding of Kubernetes - RESTful API and microservices design - Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI - Understanding of prompt engineering and Retrieval-Augmented Generation (RAG) - Familiarity with CI/CD pipelines **Preferred Skills:** - Experience with autonomous systems or multi-agent architectures - Knowledge of conversational AI or AI-driven automation workflows - Familiarity with vector databases (FAISS, Pinecone, etc.) - Expertise in event streaming systems like Kafka or Pub/Sub - Contributions to open-source projects or hackathons in AI/ML or full stack domains **Desired Qualifications:** - Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline - Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer) - Relevant certification in agentic AI frameworks or full-stack development (e.g., TensorFlow Developer Certificate, React Professional Certification) **Additional Information:** Location: Bangalore (Hybrid)