ZipRecruiter

Log In

1

Mistral Jobs in Texas (NOW HIRING)

Infovision

AI Engineer

Dallas, TX · On-site

... Mistral, Falcon) Experience with vector search, semantic similarity, and embedding strategies (OpenAI Embeddings, Sentence Transformers) Strong understanding of data pipelines -- ingestion ...

InfoVision, Inc.

AI Engineer

Dallas, TX · On-site

Proficient with LLM APIs - OpenAI, Anthropic, Gemini, and open-source models (LLaMA, Mistral, Falcon) * Experience with vector search , semantic similarity, and embedding strategies (OpenAI ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

OpenAI, LLaMA, Mistral, Gemini, Claude, Grok * Agentic Frameworks: Langchain, CrewAI, A2A, LLaMAIndex, RAG pipelines * Programming & Frameworks: Python, FastAPI, SQL, CosmosDB, Flask, Streamlit ...

NTT DATA Services

AI Sr. Director - Products

Plano, TX · On-site

... Mistral, Google/Gemini, Databricks, or Snowflake. - Strong executive communication, structured problem solving, facilitation, stakeholder management, and collaborative teaming skills. - Ability to ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic). * 5+ years of ...

INSPYR Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Evaluate and select frontier and open-source LLMs (e.g., GPT-4o, Claude, Llama, Mistral, Gemini) and apply fine-tuning strategies - including instruction tuning appropriate to each business use case.

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Integrate commercial and open-source LLMs such as GPT, Claude, Gemini, Llama, Mistral, Mixtral, Falcon, Cohere, DeepSeek , and domain-specific fine-tuned models. * Develop secure and scalable backend ...

next page

Showing results 1-20

All JobsMistral JobsMistral Jobs in Texas

Mistral information

See Texas salary details

$14K

$224.8K

$360.6K

How much do mistral jobs pay per year?

As of Jul 30, 2026, the average yearly pay for mistral in Texas is $224,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $186,300.00 and $279,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mistral Engineer, and why are they important?

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What are Mistral jobs?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.
What are popular job titles related to Mistral jobs in Texas? For Mistral jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Mistral jobs in Texas look for? The top searched job categories for Mistral jobs in Texas are:
What cities in Texas are hiring for Mistral jobs? Cities in Texas with the most Mistral job openings:
Mistral jobs near you
Infographic showing various Mistral job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, 3% Contract, and 2% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $224,804 per year, or $108.1 per hour.

GenAI Engineer-W2

Vkore Solutions

Austin, TX • On-site

Contractor

Re-posted 24 days ago

Job description

We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs, Diffusion Models, Transformers, etc.). You will optimize model performance, manage training pipelines, and integrate AI solutions into production.

Key Responsibilities:

  • Train and fine-tune LLMs using PyTorch, DeepSpeed, and LoRA.
  • Optimize inference using ONNX, vLLM, TensorRT, and GPU acceleration.
  • Manage datasets, preprocess data, and implement RAG with vector databases (FAISS, Chroma, Pinecone).
  • Automate training workflows using ML flow, Weights & Biases, and Ray.
  • Deploy models using Kubernetes, Docker, and cloud AI services AWS or GCP.
  • Monitor model performance, mitigate drift, and optimize resource utilization.

Requirements:

  • Experience with LLM training, fine-tuning, and inference optimization.
  • Proficiency in Python, cloud AI services, and distributed training.
  • Familiarity with retrieval-augmented generation (RAG) and prompt engineering.
  • Strong problem-solving skills and ability to work in fast-paced AI environments.

Preferred:

  • Experience with open-weight models (LLaMA, Mistral, Gemma, Falcon, etc.).
  • Hands-on knowledge of multi-agent architectures and synthetic data generation.