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Tier-1 brand and metro location balanced by seniority and niche AI/LLM specialization limiting density.
Specialized ML/AI, LLM, and agentic systems expertise makes cross-industry transfers difficult.
Explicit 10+ years and deep mandatory ML/AI, LLM, and data engineering requirements create strict filtering.
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Design, develop, optimize, and maintain scalable ETL processes and data pipelines using Python and SQL to support data warehousing and analytics needs.
Develop robust APIs and AI services integrating Model Context Protocols (MCPs) into agentic AI systems, ensuring operational stability and adherence to security and software development best practices.
Collaborate with stakeholders to implement data quality checks, troubleshoot data issues, and stay current with advanced AI frameworks, large language models, and data architecture patterns.
Minimum 10+ years of hands-on application development experience.
Strong proficiency in Python programming, including frameworks like FastAPI, Flask, PySpark.
Strong knowledge of databases such as Oracle, MySQL, PostgreSQL, and scripting with SQL/PLSQL.
Deep understanding of AI fundamentals and practical experience with AI frameworks, large language models (ChatGPT, Claude, Gemini, Llama), and software development best practices including CI/CD and version control (Git).
Experienced in designing and implementing scalable enterprise data and AI solutions using API-First Design, microservices, and event-driven architectures.
Demonstrates advanced skills with AI engineering methodologies including Chunking, Embedding, and Prompt Engineering, and can integrate MCPs into complex agentic AI systems.
Proven ability to ensure application resiliency, security, and operational stability while working in agile environments with containerization tools like Docker and Openshift.