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Remote mid-level AI role with popular title but niche LLM requirements, moderate applicant density.
Specialized LLM and RAG expertise transfers across industries but remains AI-domain specific.
Multiple mandatory years, specific LLM, infra, cloud, and production requirements make screening highly strict.
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Own and evolve multiple production AI-powered applications including conversational agents, RAG-powered search, and trading assistants.
Architect end-to-end AI solutions focusing on backend, frontend, inference services, and cost optimisation at scale.
Develop evaluation frameworks and maintain production-grade AI systems with a focus on accuracy, latency, and operational excellence.
5+ years of experience shipping production software systems.
At least 2 years of experience building AI/LLM-powered applications end-to-end for real users at scale, not prototypes.
Hands-on experience with RAG architectures, LLM APIs (e.g., OpenAI, Anthropic), prompt engineering, and cost optimisation techniques.
Proficiency in Python (Flask/FastAPI) and/or Node.js/TypeScript; familiarity with containerised deployments (Docker, Kubernetes) on AWS/GCP.
Strong technical ownership of production AI systems including debugging, monitoring, and proactive quality improvements under real traffic conditions.
Experienced in designing scalable retrieval-augmented generation systems with practical cost and latency management.
Comfortable working across full-stack AI applications with operational focus on evaluation metrics and production deployment challenges.