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Senior Natural Language Processing Engineer Jobs in Chicago, IL

Senior Software Engineer

Chicago, IL ยท On-site +1

$153K/yr

Object-oriented programming in Python/Java, including OOP design patterns and UML architecture ... Machine learning and statistical methods, including natural language processing (NLP) and ...

Object-oriented programming in Python/Java, including OOP design patterns and UML architecture ... Machine learning and statistical methods, including natural language processing (NLP) and ...

Senior Platform Developer

Chicago, IL ยท On-site +1

$130K - $150K/yr

Job Summary The Senior Platform Developer designs, develops, and maintains the firm's SharePoint ... natural language processing and document automation. Data & API Integration: Integrate Power ...

AI Engineer

Rosemont, IL ยท On-site

$55K - $187K/yr

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others ... processes - Utilizing natural language processing techniques to improve text analytics and ...

AI Engineer

Chicago, IL ยท On-site

$55K - $187K/yr

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others ... processes - Utilizing natural language processing techniques to improve text analytics and ...

UI Developer

Chicago, IL ยท On-site

$51.50 - $67/hr

Understanding of Natural Language Processing (NLP) concepts and prompt engineering is a plus. (nice to have) * Experience with frontend build tools like Webpack, Vite, or similar bundlers for ...

Showing results 21-40

Senior Natural Language Processing Engineer information

See Chicago, IL salary details

$77.3K

$124.8K

$175.6K

How much do senior natural language processing engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior natural language processing engineer in Chicago, IL is $124,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $138,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What are the most commonly searched types of Natural Language Processing Engineer jobs in Chicago, IL? The most popular types of Natural Language Processing Engineer jobs in Chicago, IL are:
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Senior Software Engineer (Python, Typescript) - Full Stack (Remote)

Augintel

Chicago, IL โ€ข Remote

Full-time

Re-posted 3 days ago


Job description

The Short Version: We aren't building software to sell ads or optimize clicks. At Augintel, we build Natural Language Processing (NLP) software that helps social workers and clinicians read through mountains of messy case notes to find critical, life-saving information about kids and families.

Our tool can help a social worker understand a thousand-page case history in seconds. Because of our software, caseworkers are finding lost grandmothers so kids don't go to foster care, uncovering hidden risks, and quickly spotting if a child urgently needs diabetes medication.
We are a small, tight-knit team of five, and we need a Senior Software Engineer to help us build the infrastructure that makes this all possible.

What You Will Actually Do Here: We need you to build the heavy-lifting software around the AI. You will be working closely with a Machine Learning expert.

  • The Heavy Lifting (70%): The biggest chunk of your work will be building the engine that extracts insights from notes and indexes them for downstream consumers (APIs, our web app). This will entail designing and building pipelines that process millions of case notes reliably and at scale. This backend work is heavily driven by Python.
  • The Infrastructure: You will be configuring and using AWS (specifically ECS, OpenSearch, Lambda, and S3) and writing solid SQL (we use PostgreSQL).
  • The Web App (30%): The remaining portion of your work will involve the front-end user interface and APIs, where you will use TypeScript (React and NodeJS).

Who You Are:

  • You have 5+ years of real-world experience. We are looking for someone who is solidly mid-level (your second or third real job). You aren't an entry-level beginner, but you also aren't looking to be a hands-off architect or on a fast track to management. You just want to write great code and improve your craft.
  • You are independent. We are a remote team. We need someone who can work on their couch, figure things out, and know when to raise their hand for help without flailing.
  • You like talking to people. You will occasionally jump on video calls directly with our clients to troubleshoot issues, stand up new features, or whiteboard solutions. We don't want someone who just wants to sit in a dark closet and write code.
  • You want ownership. You won't just be blindly pulling widgets off a backlog. You will collaborate daily with our ML researcher, product manager, and clients to frame problems and design actual solutions.

The Perks:

  • 100% Remote (US-based). If you happen to be in the Chicago area, greatwe have a local nexus herebut it is absolutely not required.
  • Get hands-on experience working right alongside cutting-edge Machine Learning and NLP technology.
  • Go to sleep every night knowing your code is actively keeping kids safe and giving social workers their time back.

If you are a solid Python, Typescript and AWS developer who wants to use your powers for good, we want to talk to you.