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Mid-level AI/ML engineer, metro location, popular title, and broad skill requirements create high applicant competition.
Strong technical AI and cloud focus enables cross-industry transfer, but LLM and enterprise AI specificity moderate transferability.
Multiple mandatory technical skills, explicit 4–6 years requirement, and cloud/LLM experience enforce strict filters.
Lead design, development, deployment, and maintenance of scalable full-stack AI/ML applications and enterprise-grade AI product features.
Own and evolve specific modules/features within the AI product suite, managing technical backlog in collaboration with Product Management.
Implement and manage CI/CD, DevOps, and MLOps pipelines while ensuring high code quality, performance optimization, and best engineering practices.
4-6+ years of hands-on software development experience.
Strong programming expertise in Python, full-stack development (Backend: Python frameworks, Frontend: React.js/Angular/JavaScript), and REST API/microservices development.
Experience with Generative AI, LLMs, AI frameworks (LangChain, LlamaIndex, etc.), vector databases, and deploying AI/ML models in production.
Mandatory experience with AWS and/or Azure Cloud Platforms, containerization (Docker), orchestration (Kubernetes), as well as CI/CD and DevOps/MLOps practices.
Experienced individual contributor who balances hands-on coding with technical leadership and mentoring responsibilities.
Strong background in both AI/ML engineering and software architecture for enterprise-scale applications, including cloud-native and distributed systems.
Comfortable working in Agile environments with cross-functional teams, focusing on continuous improvement of product scalability, security, and operational efficiency.