About Level AI:

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth.

Your role at Level AI:

- Build and deploy LLM-powered agents for internal tools and customer-facing products.

- Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.

- Experiment with open-source/closed-source LLMs.

- Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.

- Optimise ML and LLM systems for accuracy, latency, scalability, and cost.

- Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.

- Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.

What we're looking for:

- Tech/M. degree.

- Strong programming skills in Python.

- Interest and experience with RAG and agentic AI concepts.

- Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.

- Interest and experience in model training, inference optimisation, and GPUs.

- Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.

- Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.