Senior Machine Learning Engineer - NLP

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 centers 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 organizations to enhance customer experience and drive growth.

Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world.

With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!

• B.E/B.Tech/M.E/M.Tech/PhD from tier1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields.
• 3+ years of experience in AI/ML
• Strong coding skills in Python and familiarity with libraries like Lang Chain or Transformers
• Interest in LLMs, agents, and the evolving open-source AI ecosystem
• Eagerness to learn, experiment, and grow in a fast-paced environment.

• Assist in building LLM-powered agents for internal tools and customer-facing products
• Support prompt engineering, retrieval-augmented generation (RAG), and tool integrations
• Collaborate on experiments with open-source and commercial LLMs (e.g., GPT, Claude, Mistral)
• Help implement and evaluate reasoning, planning, and memory modules for agents
• Work closely with senior engineers to deploy and monitor AI features in production

• Experience with open-source LLMs (LLaMA, Mistral, etc.)
• Basic understanding of vector search, RAG, and prompt engineering concepts
• Contributions to AI side projects or Git Hub repos
• Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone)

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