Back
Strong Tier-1 brand, metro location, mid-level generalist GenAI/full-stack role attracts high competition.
GenAI, cloud, and full-stack skills transfer across industries, though enterprise consulting experience adds domain specificity.
Explicit 6+ years plus mandatory GenAI, cloud, and specific tech stack requirements increase filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and ship end-to-end full-stack AI-powered products integrating GenAI and agentic capabilities with accountability for product quality, cost, and operational sustainability.
Lead technical direction including requirement analysis, system design, coding, testing, deployment, and maintenance while collaborating with cross-functional teams.
Deliver lean, cost-effective engineering solutions with continuous improvement focus using modern software engineering and AI SSDLC practices, enabling daily automated product deployments.
Bachelor's degree in computer science, software engineering, data science, machine learning, or related field.
6+ years experience with full-stack technologies including Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, and AI/ML frameworks like PyTorch, TensorFlow.
3+ years hands-on experience building AI/ML and agentic applications including GenAI integrations (OpenAI, Anthropic), RAG pipelines, prompt engineering, vector databases, and AI agent orchestration.
3+ years cloud-native engineering experience using hyperscaler services (Azure, AWS, GCP) including AI/ML offerings and infrastructure-as-code; travel up to 10% based on role requirements.
Experienced in translating complex business requirements into scalable full-stack AI products with strong ownership of technical and operational outcomes.
Proficient in applied AI engineering and capable of driving rapid, lean experimentation and continuous delivery within cross-functional teams using best practices and DevSecOps methodologies.
Skilled communicator capable of articulating technical concepts clearly, influencing stakeholders, and collaborating effectively to align technical solutions with business goals.