Back
Tier-1 brand, mid-level generalist role, and broad LLM/cloud skillset increase applicant competition.
Role requires specialized LLM and regulated-environment experience, limiting cross-industry transferability.
Explicit 5+ years, LLM domain mandates, and specific Java/Python/AWS requirements make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain LLM assisted software solutions and multi-agent workflows for regulated financial markets applications.
Lead adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes within the SDLC.
Provide Level 3 support for LLM enabled production systems including incident management, model rollouts/rollbacks, and ensure high availability meeting SLAs.
5+ years formal software engineering experience with at least 1 year specifically on LLM enabled systems in regulated environments.
Strong coding skills in Java, Python, Athena, and SQL applied to building LLM enabled microservices and pipelines.
Hands-on experience with AWS cloud services (Redshift, Dynamo DB, Aurora, Databricks) and managed model endpoints.
Work Experience Required: 5+ years software engineering, 1+ year on LLM systems in regulated environments.
Deep expertise in integrating and operating large language models (Claude, ChatGPT, successors) as controlled, traceable software components in regulated financial environments.
Experience leading AI-assisted software development practices including prompt engineering, code review automation, and CI/CD with LLM Ops capabilities.
Strong background in system design for scalable, reliable LLM architectures incorporating security, compliance, and operational excellence in enterprise settings.