Machine Learning Engineer
level ai
Job Summary
Level AI, a Series C startup founded in 2019 and headquartered in Mountain View, California, is revolutionizing customer engagement by transforming contact centers into strategic assets. Their AI-native platform utilizes advanced technologies like Large Language Models to extract deep insights from customer interactions, providing actionable intelligence to enhance customer experience and drive growth. As a vital team member, you will work with cutting-edge technologies and have a high-impact role in shaping AI-driven enterprise applications, collaborating with experienced professionals from top tech companies. You will contribute to building LLM-powered agents, support prompt engineering and RAG, collaborate on LLM experiments, help implement reasoning and memory modules, and deploy AI features.
Must Have
- BE/B.Tech/ME/M.Tech/PhD from tier 1 engineering institutes
- 3+ years of experience in AI/ML
- Strong coding skills in Python
- Familiarity with libraries like LangChain or Transformers
- Interest in LLMs, agents, and open-source AI
- Eagerness to learn and grow in a fast-paced environment
Good to Have
- Experience with open-source LLMs (LLaMA, Mistral, etc.)
- Basic understanding of vector search, RAG, and prompt engineering
- Contributions to AI side projects or GitHub repos
- Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone)
Job Description
We'll love to explore more about you if you have
- 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 LangChain or Transformers
- Interest in LLMs, agents, and the evolving open-source AI ecosystem
- Eagerness to learn, experiment, and grow in a fast-paced environment.
Your role at Level AI includes but is not limited to
- 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