Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Engineer (NLP) role sits at the intersection of SaaS and enterprise operations: applying LLMs to contact-center data to turn unstructured conversations into productized insights. For SaaS professionals, that domain is notable because it demands models that work with messy, high-volume, real-world language—then reliably deliver value inside customer workflows rather than in isolated research settings.
From a career standpoint, the work maps closely to where modern SaaS AI is heading: agentic capabilities, retrieval-augmented generation, and tool integrations that can be deployed, monitored, and iterated in production. Experience evaluating multiple model families (open-source and commercial), building retrieval pipelines, and partnering with senior engineers on release-quality ML features tends to transfer well across AI-native SaaS companies as LLM stacks standardize around similar patterns.
This position is best suited to an engineer who prefers hands-on experimentation paired with practical delivery—someone comfortable moving between Python implementation, prompt/RAG design choices, and operational considerations like monitoring. It also fits professionals who want to deepen applied NLP expertise while learning how AI features are shaped by product constraints and customer-facing reliability expectations.
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/
