Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer plus a generalist fullstack title and AI visibility create moderate competition.
Strong AI and cloud engineering skills are transferable, but healthcare platform context adds moderate domain specificity.
Multiple mandatory years and numerous specific AI, cloud, and infra skills enforce high shortlisting strictness.
Architect and deliver scalable, cloud-native AI platforms with focus on Python fullstack and Generative AI solutions.
Lead end-to-end AI service lifecycle including design, development, deployment, performance tuning, and production support.
Define and enforce AI engineering standards, perform deep performance optimization, and mentor engineering teams.
Bachelor’s or Master’s degree in Computer Science or equivalent.
9+ years of experience in Python development.
Proven experience with FastAPI, cloud platforms (GCP, Azure, or AWS), and deploying mission-critical AI workloads.
Expertise with vector databases, Docker, Kubernetes, GenAI operationalization, and advanced AI concepts like LLMs and multi-agent frameworks.
Experienced technical leader capable of owning complex AI platform architecture and guiding engineering teams through design and operational challenges.
Deep expertise in cloud-native technologies with a strong focus on reliability, scalability, and production performance of AI systems.
Practitioner with hands-on experience in advanced AI/ML systems including multi-agent AI architectures, vector DBs, and prompt engineering.