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Tier-1 employer, mid-level experience, metro location and broad AI/backend skillset increase candidate density.
Requires ML/AI engineering plus cloud and vector DB expertise, moderately transferable across industries.
Many mandatory technical requirements including 6+ years, Python, cloud, Kubernetes, Azure AI and langchain indicate high filtering.
Develop and deliver backend Python-based AI software solutions using frameworks such as FastAPI and Flask.
Design and implement microservices and distributed systems with cloud deployment (Azure, GCP, AWS) focusing on API management, cognitive search, and integration of vector databases.
Ensure robustness by applying containerization (Docker, Kubernetes), CI/CD pipelines, and advanced API features including authentication, authorization, and streaming.
Minimum 6 years of professional software engineering experience.
Strong expertise in Python and backend frameworks FastAPI and Flask (mandatory).
Experience with microservices, distributed system design, containerization (Docker, Kubernetes), and CI/CD processes.
Experience delivering solutions on cloud platforms (Azure preferred) including Azure Functions, Azure API Management, and Azure AI Search; BE/B.Tech/MBA/MCA degree required.
Experienced in building scalable backend AI applications with strong Python and cloud-native microservices expertise.
Demonstrates deep knowledge of asynchronous API integrations, database systems (SQL, NoSQL), and vector database integration relevant to retrieval-augmented generation (RAG).
Comfortable operating in fast-paced, innovation-driven advisory or software services environments with complex cloud and AI technology stacks.