Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Senior, niche GenAI role reduces competition despite metro location and established employer.
Deep GenAI, LLM, vector DB and enterprise AI architecture requirements limit transferability across industries.
Explicit 11+ years and mandatory production GenAI, cloud, and vector DB experience make shortlisting strict.
Own architecture and technical vision for AI-powered applications using Python, React, and Generative AI technologies.
Design and implement scalable, secure backend platforms for LLM inference, RAG pipelines, and agent-based orchestration including frontend AI-native architectures.
Drive GenAI platformization by building reusable components and frameworks while leading solution design, technical discovery, and enterprise readiness across multiple teams.
11+ years total software engineering experience.
Strong proficiency in Python and experience developing microservices/APIs with Python (FastAPI), Node.js.
Hands-on experience architecting Generative AI solutions, scalable ML pipelines, integrating Vector databases, and deploying cloud AI solutions on AWS/GCP/Azure.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced in system design across backend, frontend, and AI infrastructure with focus on production-grade Generative AI at scale.
Proven ability to translate ambiguous business needs into robust AI architectures aligned to enterprise goals and governance requirements.
Demonstrated leadership in multi-disciplinary environments managing technical strategy, mentoring engineers, and influencing senior stakeholders.