As a Machine Learning Engineer, you will build LLM-powered agents, collaborate on experiments with LLMs, and implement AI features in production.
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/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Top Skills
Langchain
Python
Transformers
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
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- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
