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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 ...

Photon

Agentic AI Workflow Engineer

Dallas, TX · On-site

OpenAI GPT, Claude, Gemini, Llama, Mistral, and other open-source LLMs. Agent Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen. Agentic AI Concepts: Multi-Agent Systems ...

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Photon

AgenticAI Workflow Engineer | Onsite

Dallas, TX · On-site

OpenAI GPT, Claude, Gemini, Llama, Mistral, and other open-source LLMs. Agent Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen. Agentic AI Concepts: Multi-Agent Systems ...

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NTT DATA, Inc.

AI Sr. Director - Products

Plano, TX · On-site

$180 - $260/hr

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

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NTT DATA, Inc.

AI Solution Architect

Plano, TX · On-site

$150 - $190/hr

Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling. * AI/ML, cloud, data platform ...

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NTT DATA, Inc.

AI Strategy & GTM Sr. Director

Plano, TX · On-site

$200 - $300/hr

Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. * Strong executive communication, structured problem solving ...

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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 ...

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 ...

NAVA Software Solutions

Sr 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.

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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 Aug 8, 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?

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 is a Mistral?

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 August 2026, with employment types broken down into 86% Full Time, 2% Part Time, 10% Contract, and 2% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $224,804 per year, or $108.1 per hour.

AI-Enabled Platform/SRE Engineer (Local TX)

TechCafeHub LLC

Richardson, TX • On-site

$51.75 - $68.75/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: AI-Enabled Platform/SRE Engineer

Location: Hybrid in Richardson - need local from TX !

Duration: 12 months + extensions

Visa - OPT/ead - C2C 

Client can call for f2f interview for last round - they should be fine with that

About the Role

We are seeking a Senior Kubernetes-focused SRE with strong cloud automation and software engineering skills who can leverage AI/LLMs to automate operations and improve platform reliability at scale.


Key Responsibilities

• Build automation and operational tools using Java, Python, and Node.js to improve efficiency, scalability, and platform operations.

• Leverage AI and Generative AI technologies (Gemini, Llama, Mistral, Qwen, etc.) to automate alert analysis, incident response, operational workflows, and runbook execution.

• Implement API and microservices reliability solutions using Apigee/Apigee X, REST APIs, GraphQL gateways, traffic routing, canary deployments, and failover strategies.

• Manage Kubernetes platforms across GKE and Rancher RKE2, including cluster administration, performance tuning, and troubleshooting.

• Ensure platform reliability and high availability by supporting active-active deployments, disaster recovery readiness, and multi-datacenter Kubernetes environments.

• Develop observability and monitoring capabilities using tools such as Splunk, Grafana, Datadog, and AppDynamics to meet reliability and performance objectives.

• Drive SRE best practices and operational excellence by partnering with cross-functional teams to improve reliability, security, incident management, and continuous improvement.


Core Technical Skills

• Site Reliability Engineering (SRE) – Reliability, availability, incident management, SLO/SLI monitoring, and operational excellence.

• Kubernetes Platform Engineering – 5+ years of Strong hands-on experience with GKE and Rancher RKE2, multi-cluster management, troubleshooting, and performance optimization.

• Cloud & Infrastructure Automation – Strong experience in Google Cloud Platform, Terraform, Helm, GitHub, CI/CD, and production-grade automation.

• Software Development – 5+ years of Advanced programming skills in Python and Java (Node.js preferred for integrations and automation workflows).

• Observability & Monitoring – Splunk, Grafana, Datadog, AppDynamics, alerting, and platform health monitoring.

• API & Microservices Engineering – Apigee/Apigee X, REST APIs, GraphQL, traffic routing, canary deployments, and failover strategies.

• AI-Driven Operations (AIOps) – Applying LLMs such as Gemini, Llama, Mistral, and Qwen for alert analysis, incident triage, automation, and operational workflows.

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