Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
Develop evaluation and scoring systems to measure and continuously improve model output quality
Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance

Requirements

BS in relevant engineering discipline and 4+ years of relevant work experience
SW development, Strong Python with applications in AL/ML
Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation
Experience or strong interest in Data Science and Engineering
Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems
Strong problem-solving skills, especially in simplifying and modelling real-world problems

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonAI systemsdata pipelinesworkflowsbenchmarking infrastructureevaluation systemsscoring systemsmodel output qualityerror handlingscalability

Soft Skills

problem-solvingcollaborationcommunication

Certifications

BS in engineering