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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
In this role, you will:
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Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
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Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
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Develop evaluation and scoring systems to measure and continuously improve model output quality
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Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
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Collaborate with cross-functional teams to translate business requirements into technical AI solutions
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Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
Qualifications
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
Bonus Qualifications
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
Experience integrating AI capabilities into applications or eagerness to learn application development
Full-stack development experience with both backend and frontend technologies
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