Lead AI Engineer I

About the Job

Lead AI Engineer I - Bengaluru (Hybrid)

Requirements & Experience

• At least 4 to 6 years of experience in ML engineering.
• 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).

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.