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Senior Natural Language Processing Engineer Jobs in Georgia

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves ... Background in conversational AI or natural language processing Work Where You Thrive For candidates ...

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's Degree in a STEM field and 10+ years of experience in Data Science, or Master ...

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's Degree in a STEM field and 10+ years of experience in Data Science, or Master ...

... Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI ... Prompt Engineering-Crafting effective prompts to guide generative models in producing desired ...

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all ... retrieval, and natural language processing (NLP). * Highly proficient in Python and working ...

... data, including natural language processing, text classification, sentiment analysis, or other ... programming skills in Python and experience working with version control systems (Git). • Strong ...

Principal AI Engineer is a senior technical leader responsible for designing, developing, and ... Natural Language Processing (BERT, GPT, LLM fine-tuning) * Computer Vision (YOLO, ResNet, object ...

... natural language processing, and statistical modeling. • Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks. • Strong knowledge of data governance ...

Showing results 41-60

Senior Natural Language Processing Engineer information

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 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 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 the most commonly searched types of Natural Language Processing Engineer jobs in Georgia?

The most popular types of Natural Language Processing Engineer jobs in Georgia are:

What are popular job titles related to Senior Natural Language Processing Engineer jobs in Georgia?

For Senior Natural Language Processing Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Natural Language Processing Engineer jobs in Georgia look for?

The top searched job categories for Senior Natural Language Processing Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Natural Language Processing Engineer jobs?

Cities in Georgia with the most Senior Natural Language Processing Engineer job openings:

Senior Backend Engineer (AI Agent)

Bigcommerce

Atlanta, GA • On-site, Remote

$116K - $195K/yr

Full-time

Re-posted 8 days ago


Job description

Welcome to the Agentic Commerce Era

At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.

BigCommerce is building a new team to deliver a suite of conversational AI agents spanning the B2B commerce lifecycle - Product Discovery, Pricing & Quoting, Order Automation, Fulfillment & Delivery, and Post-Sale Support. The agents are built in Go on Google ADK with Gemini, with evaluation infrastructure in Braintrust and a streaming AG-UI frontend.

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the evaluation discipline that determines whether these agents are trustworthy enough to ship. Agent quality in this domain is won on evals, not just code, and you will own that practice for the team.

BigCommerce, part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what's most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry.

What You'll Do

  • Design, build, and iterate on AI agents in Go/Python using an orchestrator/sub-agent architecture, covering intent interpretation, delegation, and safe action execution
  • Own eval-driven development: build and maintain golden datasets, scorers, and regression suites (Braintrust or similar) for critical quality metrics such as discovery recall and quote accuracy
  • Develop and refine prompts, model configurations; treat prompts and model settings as versioned, tested artifacts
  • Integrate agents with MCP servers and backend tools, defining safe tool-call contracts, approval flows for write actions, and guardrails against prompt injection and abuse
  • Instrument agents with tracing, metrics, and cost tracking; use production signals to drive quality improvements
  • Collaborate with product designers and frontend engineers to deliver intuitive, useful conversational experiences
  • Quickly build proof-of-concept agents to validate user stories, then harden them to GA quality
  • Drive architecture decisions on ambiguous problems and mentor other engineers in agent engineering practices

Who Are You

  • 5+ years of experience in backend or full-stack software development, with hands-on experience building agentic AI/LLM applications
  • Education: Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
  • Strong and proven development skills in any major language (Go/Python/Ruby/PHP)
  • Experience working with LLMs (Gemini, Anthropic, OpenAI, etc.) in production systems
  • Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results to drive iteration
  • Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns
  • Deep experience designing and building APIs (gRPC, GraphQL, REST) and integrating data across systems
  • Hands-on experience building MCP servers or LLM tool integrations
  • Excellent problem-solving skills and ability to work in a fast-paced, exploratory environment
  • Strong collaboration and communication skills in cross-functional teams
  • Strong preference toward execution and delivery

Preferred:

  • Experience with agent frameworks (Google ADK, LangChain/LangGraph, Semantic Kernel, or similar)
  • Experience with evaluation/observability platforms (Braintrust, LangSmith, or similar)
  • Experience with RAG systems and retrieval quality tuning
  • Experience with e-commerce platforms or SaaS product development
  • Background in conversational AI or natural language processing


Work Where You Thrive

For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in-person collaboration.

#LI-REMOTE

#LI-GC1

(Pay Transparency Range:$116,000.00 - $195,000.00)

Compensation Transparency


The national base salary range for this role is posted above in this job post.

Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.

Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Protect Yourself Against Hiring Scams: Our Corporate Disclaimer

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised:
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:

  • require payment of recruitment fees from candidates;

  • request personally identifiable information through unsanctioned websites or applications;

  • attempt to solicit money from you as part of the hiring process or as part of an employment offer;

  • solicit money to complete visa requirements as part of a job offer.


If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.


BigCommerce logo

About BigCommerce

Sourced by ZipRecruiter

BigCommerce's mission is to help merchants sell more at every stage of growth, from small startups, to mid-market businesses to large enterprises. We focus on being the best ecommerce platform so our customers can focus on what matters most: growing their businesses. We are equally passionate about growing our employee's careers and providing them an incredible experience as we rapidly expand across the globe. We are proud to have been recognized numerous times for our product and workplace culture. We empower our people and customers to build, innovate and grow, so together we can redefine the ecommerce industry.

Industry

Technology, communication and media

Company size

501 - 1,000 Employees

Headquarters location

Austin, TX, US

Year founded

2009