Build and maintain backend services and internal tools in Python for AI-powered applications.
Integrate LLM APIs into production workflows, including prompt handling, response processing, validation, and retries.
Design and implement scalable REST APIs, async workflows, and background job systems.
Maintain and enhance components of a multi-language codebase (C#/C++, Python, web technologies) where applicable.
Work with structured and unstructured data to prepare inputs, transform outputs, and support downstream systems.
Develop systems for prompt management, model routing, response validation, and failure handling.
Debug complex issues across backend logic, API integrations, and distributed services.
Monitor system performance using telemetry tools and proactively identify and resolve bottlenecks.
Automate recurring workflows related to data processing, evaluation, and reporting.
Collaborate with cross-functional teams to turn ambiguous product ideas into production-ready features.
Contribute to architecture decisions around scalability, performance, and safe use of AI systems.
Write clean, testable, and maintainable code while helping establish engineering best practices for AI systems.

Requirements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC#C++REST APIsasync workflowsbackground job systemsdata processingdebuggingtelemetry toolsAI systems

Soft Skills

collaborationproblem-solvingcommunicationadaptabilityteamwork

Certifications

Bachelor’s degree in Computer Science