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Nlp Engineer Jobs in Connecticut (NOW HIRING)

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL queries ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL queries ...

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... NLP, deep learning, and model fine-tuning techniques. • Experience working with MLOps, cloud ... engineering, reinforcement learning, and AI safety principles. • Strong problem-solving skills ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

Engineer - GEN AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange CT ... NLP, or data mining * Experience on projects involving big data processing and distributed ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

Engineer - GEN AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange CT ... NLP, or data mining * Experience on projects involving big data processing and distributed ...

UnitedHealth Group

Sr Software Engineer

Hartford, CT · Remote

$91K - $163K/yr

Connecting. Growing together. Position Summary As a Senior Software Engineer within ... Experience integrating Large Language Models (LLMs), natural language processing (NLP), or vector ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

$122K - $147K/yr

Engineer - GEN AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange CT ... NLP, or data mining * Experience on projects involving big data processing and distributed ...

Worky

Engineer - GEN AI

Orange, CT · On-site

$141 - $176/hr

Engineer - GEN AI Reports to: Senior Manager - IT Infrastructure Location: In Office, Orange CT The ... NLP, or data mining * Experience on projects involving big data processing and distributed ...

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All JobsNlp Engineer JobsNlp Engineer Jobs in Connecticut

Nlp Engineer information

See Connecticut salary details

$34.7K

$102.1K

$130.8K

How much do nlp engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for nlp engineer in Connecticut is $102,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $129,400.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are the most commonly searched types of Nlp Engineer jobs in Connecticut?

The most popular types of Nlp Engineer jobs in Connecticut are:

What are popular job titles related to Nlp Engineer jobs in Connecticut?

For Nlp Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Nlp Engineer jobs in Connecticut look for?

The top searched job categories for Nlp Engineer jobs in Connecticut are:

Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $102,056 per year, or $49.1 per hour.

Senior Conversational AI Software Engineer

Prophecy Technologies

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Re-posted 10 days ago

Job description

Role Description
• Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)
• Own end-to-end delivery of complex features - from design through deployment, monitoring, and iteration
• Drive engineering excellence in code quality, testability, performance, scalability, and observability
• Perform deep design and code reviews; raise the technical bar across the team
• Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines
• Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails
• Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions
• Help deploy, operate, and maintain large-scale software in production with strong operational discipline
• Mentor mid-level and senior engineers on advanced technical topics and best practices
• Contribute to the long-term technical strategy alongside Principal Engineers and architects
Required Qualifications
• 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure)
• 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 8 years of experience with APIs, microservices, and modern software patterns
• 3 years of experience working with cross-functional stakeholders on complex requirements
• Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
Preferred Qualifications
• Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation
• Experience developing and supporting voice and text chatbots, including dialog design at scale
• Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations
• Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows
• Strong communication skills, capable of explaining technical concepts to both engineering and business audiences
• Advanced degree (Master''s or PhD) in Computer Science, Engineering, AI, or a related field

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