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 frameworksDevelop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCPBuild and implement agentic AI applications, including multi-agent systems and autonomous workflowsDevelop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalabilityWork with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflowsEnsure best practices in code quality, testing, debugging, observability, and performance optimizationCollaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisionsRequired Skills:
Advanced proficiency in Python and JavaScript/TypeScriptExperience with frontend frameworks such as React, Angular, or VueBackend 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 KubernetesRESTful API and microservices designExperience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAIUnderstanding of prompt engineering and Retrieval-Augmented Generation (RAG)Familiarity with CI/CD pipelinesPreferred Skills:
Experience with autonomous systems or multi-agent architecturesKnowledge of conversational AI or AI-driven automation workflowsFamiliarity with vector databases (FAISS, Pinecone, etc.)Expertise in event streaming systems like Kafka or Pub/SubContributions to open-source projects or hackathons in AI/ML or full stack domainsDesired Qualifications:
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related disciplineCertification 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)
