Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Build and enhance full-stack AI-driven products embedding GenAI and agentic capabilities, ensuring high-quality, outcome-focused solutions.
Own engineering accountability for design integrity, code quality, production deployment, cloud/inference cost management, and ongoing product maintenance.
Collaborate cross-functionally from concept to production, integrating diverse perspectives and driving lean, iterative delivery with rapid customer feedback.
Minimum Requirements
Bachelor's degree in CS, software engineering, data science, machine learning, or related field.
3+ years experience in full-stack development with technologies like Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, and related AI frameworks.
2+ years building AI/ML and agentic applications including hands-on GenAI with LLM integration, RAG pipelines, prompt engineering, vector databases, and orchestration.
2+ years cloud-native engineering experience with hyperscaler platforms (Azure, AWS, GCP) and cloud AI/ML services; experience with DevSecOps tools and methodologies; ability to travel ~10%.
Ideal Candidate Profile
Experienced engineer comfortable leading technically and advocating product goals aligned with customer and business outcomes in a large-scale enterprise environment.
Proficient in rapid iterative full-stack AI product delivery incorporating AI/ML lifecycle tools, cost-aware cloud engineering, and multi-disciplinary collaboration.
Strong ability to translate complex domain needs into maintainable, high-quality code with an emphasis on scalable AI-driven feature development and continuous improvement.