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Tier-1 employer and metro location but senior, niche AI specialization reduces broad applicant competition.
Specialized ML/AI engineering and LLM/agentic experience limits easy transfer across industries.
Explicit 10+ years and many mandatory AI, Python, ETL, and platform requirements imply strict filters.
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Design, develop, and maintain ETL pipelines and data warehouse solutions with Python and SQL to support data extraction, transformation, and loading at scale.
Implement and optimize AI-driven applications and services, integrating large language models and agentic AI systems using frameworks like LangChain and AutoGen.
Ensure operational stability, security, and performance of AI and data architectures using microservices, API-first design, containerization (Docker, OpenShift), and CI/CD methodologies.
At least 10+ years of hands-on application development experience.
Strong proficiency in Python, including frameworks such as FastAPI, Flask, PySpark.
Expertise in database technologies including Oracle, Postgres, or MongoDB with strong SQL and PL/SQL skills.
Experience with AI system design concepts including multi-agent systems, large language models, and AI engineering methodologies.
Demonstrated ability to build scalable, enterprise-grade AI and data pipelines integrating advanced AI frameworks and LLMs.
Experienced in designing robust APIs and microservices architectures emphasizing operational robustness and security.
Skilled in agile development environments with strong emphasis on CI/CD, version control (Git), and container orchestration (Docker, OpenShift).