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Metro role with popular fullstack title and mid-level expectations increases competition.
AI, LLM, and enterprise data platform experience favors candidates from data/AI-focused industries.
Multiple mandatory technical skills (LLM APIs, AWS ECS, Terraform, data integrations) create stringent shortlisting filters.
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Own the maintenance and support of the OpenAI API integration layer including prompt management, API calls, error handling, and cost/performance optimization.
Manage deployment and operations on AWS ECS using Terraform infrastructure; coordinate environment promotions with Business Analyst and QA.
Maintain and complete integration with enterprise data sources (EDF, third-party APIs like Dun & Bradstreet and Beroe); handle defect fixes and small enhancements post-UAT/production.
Strong foundation in data science or ML engineering with proficiency in Python.
Practical experience using large language model APIs such as OpenAI API or equivalent.
Production deployment experience on AWS ECS, containerization, CI/CD pipelines, and Infrastructure as Code using Terraform.
Experience with data integrations involving data lakes, enterprise data platforms, or third-party APIs.
Experienced in building and maintaining LLM-based applications with strong operational understanding of API integration and prompt flow management.
Comfortable working directly with cloud infrastructure and deployments focused on AWS ECS and Terraform automation.
Familiarity or experience in regulated pharma environments, agentic AI orchestration, or procurement/market intelligence data platforms is a plus.