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Day 212
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From 5,460 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer - NLP
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting
What you’ll work on
Full postingHelp build LLM-powered agents for internal tools and customer-facing products
Support prompt engineering, RAG, and tool integrations
Run experiments with open-source and commercial LLMs
Implement and evaluate reasoning, planning, and memory modules for agents
Deploy and monitor AI features in production with senior engineers
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 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 ecosystem
Qualification wording
3+ years of experience in AI/ML
Strong coding skills in Python
familiarity with libraries like LangChain or Transformers
Interest in LLMs, agents, and the evolving open-source AI ecosystem
Education & alternatives
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
Posting record
Report an errorOpen 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026212 days ago
- Recorded sightings
- 86
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Apr 30, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Levelai is hiring
3 open jobs
- No new data jobs since April
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- Python
- Transformers
Where the posting names them
- 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
Your next step
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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!
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/
LinkedIn : https://www.linkedin.com/company/level-ai/
Employment type
Full Time
Source details
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