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Tier-1 brand, metro location, and broad AI/backend skillset drive high applicant competition.
Machine learning and backend skills are highly transferable across industries, so background sensitivity is low.
Multiple mandatory technical skills (Python, SQL, APIs, Agentic AI) increase filtering despite no explicit years.
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Develop and maintain Python-based backend services and REST APIs focused on scientific instruments and platforms.
Design, optimize and manage databases with complex SQL queries for performance optimization.
Implement and enhance Agentic AI capabilities supporting workflow automation and human-in-the-loop operations.
Strong Python development and debugging skills with advanced knowledge of OOP, SOLID principles, and software design patterns.
Significant experience with SQL and relational database design including performance tuning and query optimization.
Proven ability in developing and integrating REST APIs and working with UI technologies like HTML, CSS, JavaScript or TypeScript.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex software projects with modern technology stacks including cloud services and microservices.
Capable of troubleshooting unfamiliar codebases with root-cause analysis and debugging skills.
Familiarity with Agile or hybrid project management frameworks and tools like Jira, Azure DevOps, or GitHub Projects is advantageous.