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The job role involves owning the complete lifecycle of large language model (LLM) applications, from development to maintenance.
Key responsibilities include designing and implementing prompt engineering systems, evaluation frameworks, and LLM performance monitoring for production agent deployments.
Requirements:- A minimum of 3-5 years of experience in software engineering with strong Python proficiency, asynchronous programming, and API development skills.
- Familiarity with building, productionising and maintaining LLM applications, including RAG systems, prompt engineering frameworks, evaluation pipelines, and agentic systems.
- Strong understanding of LLM software development patterns, multi-agent orchestration, and tool-calling frameworks.
- Experience with LLM operations - model serving, monitoring, version control, and performance optimisation.
- Familiarity with evaluation methodologies, A/B testing, and metrics collection for ML systems in production.
- A core engineering role in a fast-scaling industrial-AI startup.
- End-to-end ownership of LLM application development — from prompt engineering to production monitoring — with direct impact on real-world, mission-critical enterprise workflows.
- Opportunities to work at the intersection of agentic AI, enterprise integrations, and large-scale production systems, shaping the capabilities of our next-generation Agentic SDK.
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