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Mistral Inc Jobs (NOW HIRING)

Pumpkin Intelligence, Inc.

Data Labeler

$30K - $50K/yr

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others. We process over one hundred million API calls every ...

Speakeasy, Inc

Account Executive

San Francisco, CA · On-site

$250K/yr

Our customers today include leading tech companies and fortune 100 enterprises such as Mistral AI, Vercel, PlanetScale, Verizon, and Docusign. We were founded in 2021 and have already hit important ...

Speakeasy, Inc

Forward Deployed Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Our customers include companies like Mistral, Verizon, Cisco, Vercel, Redis, Glean, LaunchDarkly, PlanetScale, and Docusign. We are backed by Google Ventures, FPV, and Quiet Capital. Today, hundreds ...

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

Experience with fine-tuning or instruction-tuning open-source LLMs (LLaMA, Mistral, etc.). * Knowledge of secure-by-design principles and air-gapped or FedRAMP-compliant deployment environments.

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph, and open-source foundation models (LLaMA, Mistral, Falcon, etc.). • Strong command of Gen AI engineering patterns: prompt engineering ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems ... Payments Inc. is an equal opportunity employer. Global Payments provides equal employment ...

Innova Solutions, Inc

AI Solutions Architect

Chicago, IL · On-site

$180K - $190K/yr

LLMs and Foundation Models (Claude, GPT, Llama, Amazon Nova, Mistral) * AI Frameworks & Orchestration (LangChain, LangGraph, CrewAI, Semantic Kernel) * RAG (Retrieval-Augmented Generation ...

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Mistral Inc information

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$15K

$241.3K

$387K

How much do mistral inc jobs pay per year?

As of Aug 6, 2026, the average yearly pay for mistral inc in the United States is $241,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,000.00 and $300,000.00 per year, depending on experience, location, and employer.

What is Mistral Inc?

Mistral Inc is a technology company specializing in artificial intelligence (AI) and machine learning solutions. The company focuses on developing advanced AI models and tools to help businesses automate processes, enhance productivity, and gain insights from data. Mistral Inc is known for its innovative approach to AI research and its commitment to making cutting-edge technology accessible to a wide range of industries. Their offerings include AI-powered APIs, custom solutions, and research collaborations.

What types of projects do team members typically work on at Mistral Inc, and how does cross-functional collaboration take place?

At Mistral Inc., team members often engage in projects involving advanced AI model development, natural language processing, and machine learning infrastructure. Collaboration is a key part of the work environment, with engineers, researchers, and product managers regularly working together in agile teams to solve complex problems. Regular sprint planning, code reviews, and interdisciplinary meetings ensure that everyone stays aligned and can contribute their expertise. This structure promotes continuous learning and innovation, making it an exciting place for professionals passionate about AI and technology.

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

To thrive at Mistral Inc., candidates generally need strong technical expertise in areas like software development, AI, or engineering, supported by relevant degrees or industry experience. Familiarity with programming languages (such as Python or C++), cloud platforms, and AI/ML frameworks is often required, along with certifications depending on the specific role. Strong problem-solving abilities, effective teamwork, and clear communication are crucial soft skills. These competencies enable employees to contribute to innovative projects, collaborate efficiently, and drive success in a cutting-edge technology environment.

What is the difference between Mistral Inc vs Data Analyst?

AspectMistral IncData Analyst
Required CredentialsTypically requires a bachelor's degree in business, marketing, or related fieldsUsually requires a bachelor's degree in statistics, mathematics, or related fields
Work EnvironmentCorporate offices, client sites, or remote workOffice settings, data centers, or remote
Industry UsageUsed across various industries including finance, tech, and consultingPrimarily in finance, healthcare, marketing, and tech sectors
Common Search/ComparisonYesYes

While Mistral Inc focuses on business solutions and consulting services, Data Analysts primarily analyze data to support decision-making. Both roles often require similar educational backgrounds and work environments, but their core functions differ: Mistral Inc offers strategic consulting, whereas Data Analysts focus on data interpretation and reporting.

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Mistral Inc jobs near you

Senior LLMOps / MLOps Engineer

Cardinal Integrated Technologies Inc

Santa Clara, CA • On-site

$121K - $167K/yr

Other

Posted 7 days ago

Job description

Role: Senior LLMOps / MLOps Engineer Location: Santa Clara, CA (Onsite) Duration: 6-12+ Months Contract

Only Local Candidates will work out

Must Have Skills:
Skill 1 Strong proficiency in Python and software engineering best practices
Skill 2 14+ years of experience in MLOps, LLMOps, AI/ML Platform Engineering
Skill 3 Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving

Good To have Skills:
Skill 1 Exposure to AI Observability, Governance, and Responsible AI practices

Summary:
We are looking for a highly skilled Senior LLMOps / MLOps Engineer with strong expertise in LLM inferencing, model hosting, and serving Large Language Models (LLMs) at scale. The ideal candidate should be a hands-on engineer with proven experience deploying and optimizing open-source LLMs, building high-performance inference platforms using technologies such as vLLM, SGLang, TGI, Triton, and Ray Serve, and driving GPU utilization, latency, throughput, and cost optimization. This is a highly technical role requiring active involvement in designing, building, troubleshooting, and optimizing production AI systems. Experience in MLOps platforms and scalable AI infrastructure is essential.

Must-Have Skills:
5-7 years of experience in MLOps, LLMOps, AI/ML Platform Engineering.
Strong proficiency in Python and software engineering best practices.
Experience working with open-source LLMs such as Llama, Mistral, Gemma, or Qwen.
Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving.
Experience with Kubernetes, Docker, Azure ML, Databricks, and MLflow.
Good understanding of RAG, Vector Databases, GPU Optimization, Quantization, KV Cache, PagedAttention, and ContinuoDynamic Batching.
Demonstrated hands-on experience building, deploying, troubleshooting, and optimizing production-grade LLM and GenAI solutions.
Experience deploying, scaling, and monitoring production-grade GenAI/LLM applications.
Exposure to AI Observability, Governance, and Responsible AI practices.

Good-to-Have Skills:
Hands-on experience with LLM Fine-Tuning using PEFT, SFT, CPT, LoRA, and QLoRA techniques.
Experience with Azure AI Foundry, Azure OpenAI, Hugging Face, DeepSpeed, and PEFT.
Knowledge of distributed training and multi-GPU environments.
Experience with Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
Understanding of simulation platforms, digital twins, modeling & simulation workflows, or scientific computing.

Apply