1

Language Engineer Jobs in Dallas, TX (NOW HIRING)

... Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG ... You will work closely with our engineering, product, and leadership teams to transform complex real ...

MB-487781 Software Engineer Design & implement end-to-end language targeting feature for Solimar Trading Platform allowing businesses like ad agencies to filter available ad inventory based on ...

The AI Engineer will design AI-powered applications using large language models, including natural language interfaces that extract insights from operational and ERP data, while also building and ...

The AI Engineer will design AI-powered applications using large language models, including natural language interfaces that extract insights from operational and ERP data, while also building and ...

Proficiency in C# programming language *Experience with Linux operating systems and scripting languages *Familiarity with Agile Software Development methodologies and practices *Knowledge of Python ...

Proficiency in C# programming language * Experience with Linux operating systems and scripting languages * Familiarity with Agile Software Development methodologies and practices * Knowledge of ...

... expertise with Large Language Models (LLMs) including Anthropic Claude and Google Gemini ... Perform prompt engineering, model evaluation, and experimentation to improve AI system performance.

MB -487781 Software Engineer Design & implement end-to-end language targeting feature for Solimar Trading Platform allowing businesses like ad agencies to filter available ad inventory based on ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Knowledge of VXML language to design call flow interactions * Java programming: Ability to develop custom Java components for CVP integration * Contact Center & Database Integration Knowledge

* 5+ years of experience as database administrator/programmer * Expert-level knowledge of MySQL ... Expert-level knowledge of SQL language (MySQL) * AWS knowledge (especially Aurora DB) * Good ...

Proficiency in C# programming language Experience with Linux operating systems and scripting languages * Familiarity with Agile Software Development methodologies and practices * Knowledge of Python ...

Position Description The Project Engineer supports the delivery of heavy civil construction ... If you want to view the EEO is the Law poster, please choose your language: English - Spanish ...

Senior Research Engineer

Frisco, TX · Hybrid

$97K - $134K/yr

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ... Hands-on experience in other programming language/scripting language and development stack (Java ...

AI Engineer

Irving, TX · On-site +1

$101K - $159K/yr

Python (Programming Language) - Preferred * Microsoft Azure - Preferred * Human Machine Interfaces - Preferred * Java (Programming Language) - Preferred Compensation In the spirit of pay transparency ...

next page

Showing results 1-20

Language Engineer information

See Dallas, TX salary details

$38.6K

$100.7K

$136.1K

How much do language engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for language engineer in Dallas, TX is $100,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $115,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Language Engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a Language Engineer job?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

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

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

What are the most commonly searched types of Language Engineer jobs in Dallas, TX? The most popular types of Language Engineer jobs in Dallas, TX are:
Infographic showing various Language Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $100,699 per year, or $48.4 per hour.
AI Engineer

Full-time

Posted 13 days ago


Job description

Ready to Apply?

Pereview Software is seeking an AI Engineer to join our growing Product and Engineering team. This is a unique opportunity to help shape the future of AI-powered solutions within the commercial real estate industry.

In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures, and Azure AI technologies. You will work closely with our engineering, product, and leadership teams to transform complex real estate and financial data into actionable insights and automation solutions.

Ifyou'repassionate about applying AI to real-world business problems, enjoy building scalable solutions, and want to help drive the next generation of innovation at Pereview,we'dlove to meet you.

Please complete this brief survey: https://go.cultureindex.com/p/niy2xbmLp8t8rect6dx

What You'll Be Doing

  • Design, develop, andmaintainAI-powered applications and services within the Pereview platform
  • Take ownership of existing AI solutions and enhance their scalability, performance, and accuracy
  • Build andoptimizedocument ingestion, OCR, and data extraction workflows for financial and real estate documents
  • Develop andmaintainRetrieval-Augmented Generation (RAG)architecturesusing vector databases and semantic search technologies
  • Create, test, and refine prompts, structured outputs, and evaluation frameworks for Large Language Models
  • Integrate OpenAI and Azure OpenAI services into production applications
  • Develop APIs, backend services, and data pipelines supporting AI initiatives
  • Collaborate with product managers, engineers, and business stakeholders toidentifyopportunities for AI-driven innovation
  • Monitor, troubleshoot, and continuously improve AI model performance and system reliability
  • Participate in architectural planning and contribute to the long-term AI strategy of the organization