Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Engineer role sits at the intersection of SaaS and applied AI, where language models are becoming core product infrastructure rather than a standalone feature. With Level AI positioned as an AI-native platform for contact centers and described as a Series C company, the work signals a move from experimentation into repeatable, production-grade capabilities that enterprise SaaS buyers can rely on.
From a SaaS career standpoint, the emphasis on deploying and monitoring AI features in production is a meaningful differentiator. It builds experience in the full lifecycle that matters in subscription software: iterating on model behavior, integrating with product surfaces, and making systems observable once they are exposed to real customer workflows. Exposure to RAG, vector retrieval, and tool integrations also translates across many modern SaaS categories adopting LLMs.
This role is best suited to engineers who like combining pragmatic software engineering with applied ML, and who are comfortable learning in public through prototypes, evaluation, and incremental rollout. It fits someone who wants to deepen hands-on experience with LLM ecosystems while staying close to customer-facing product outcomes rather than purely research-oriented work.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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!
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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
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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/
