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Tier-1 brand plus seniority and niche AI specialization yield moderate applicant density.
Role requires deep AI/LLM engineering expertise, making skills less transferable across unrelated industries.
Explicit 10+ years and extensive mandatory AI, ML, and tooling requirements create strict filters.
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Lead the design, development, and implementation of application systems and AI-driven solutions using Python and related technologies.
Develop and optimize ETL/data pipelines, integrating AI models and ensuring system architecture compliance, scalability, and operational stability.
Provide advanced technical expertise, coach mid-level developers, and ensure risk and compliance management in business decisions involving AI applications.
10+ years of hands-on application development experience.
Proficient in Python (FastAPI, Flask, PySpark), AI engineering methodologies, and machine learning frameworks (TensorFlow, PyTorch).
Experience with databases (Oracle, Postgres, MongoDB) and ETL processes.
Bachelor's degree or equivalent; Master's degree preferred.
Seasoned technology leader with deep experience in AI application design and enterprise-scale systems.
Expertise in integrating large language models (LLMs) and agentic AI frameworks into production systems.
Strong strategic focus on API-First Design, microservices, event-driven architectures, and DevSecOps using Docker, Openshift, CI/CD, and agile methodologies.