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)