Machine Learning Engineer

1 Month ago • 3 Years + • Research Development

Job Summary

Job Description

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 Details

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!

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

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

To learn more visit : https://thelevel.ai/

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About The Company

California, United States (Remote)

Noida, Uttar Pradesh, India (Hybrid)

Mountain View, California, United States (Hybrid)

Noida, Uttar Pradesh, India (Hybrid)

Mountain View, California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

Mountain View, California, United States (Hybrid)

Mountain View, California, United States (On-Site)

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