A hybrid Data & ML role at Level AI.
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Original listing text, shown exactly as published by the company.
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Build and deploy LLM-powered agents for internal tools and customer-facing products.
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Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
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Experiment with open-source/closed-source LLMs.
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Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
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Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
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Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
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Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.
We'll love to explore more about you if you have
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Strong programming skills in Python.
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Interest and experience with RAG and agentic AI concepts.
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Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.
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Interest and experience in model training, inference optimisation, and GPUs.
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Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.
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Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.
Level AI
Data & ML
22 open roles on Sydicom
Level AI develops artificial intelligence solutions designed to enhance customer service operations. Their platform provides AI-powered tools for contact centers, focusing on real-time agent assistance, conversational intelligence, and automated quality assurance.
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