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Mistral Inc Jobs (NOW HIRING)

TUPPL Technology Inc

AI /ML Engineer

Fort Mill, SC · On-site +1

Nice to Have • Knowledge of Anthropic Claude, Amazon Nova, Llama, Mistral, and OpenAI models. • Experience with Knowledge Graphs. • Experience with Databricks and Snowflake. • Experience with ...

RELX

Senior Data Scientist II

Norwalk, CT · On-site +1

$175K - $183K/yr

* RELX Inc. d/b/a LexisNexis USA * Senior Data Scientist II * 401 Merritt 7 Corporate Park, Norwalk ... Mistral to understand the nuances of the existing large language models in the market and be able ...

Arohak Inc

$122K - $146K/yr

Mistral Models * Fine-tuning and model optimization experience * Function Calling and Tool Use implementations Snowflake * Strong hands-on experience with Snowflake * Snowflake Cortex AI * Snowpark

Granite Telecommunications

Lead AI Engineer

Quincy, MA · On-site

$107K - $141K/yr

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine. Granite was named to ... Mistral). * Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using ...

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 ...

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 ...

Adobe, Inc.

AI Enterprise Architect

San Jose, CA · On-site

$80.75 - $104.25/hr

Large Language Models (LLMs) - OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, etc. || Diffusion models (Adobe Firefly, Stable Diffusion, DALL • E, Midjourney) || 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 Jun 16, 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 and what does the company do?

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.

What cities are hiring for Mistral Inc jobs? Cities with the most Mistral Inc job openings:
What states have the most Mistral Inc jobs? States with the most job openings for Mistral Inc jobs include:
Mistral Inc jobs near you

AI /ML Engineer

TUPPL Technology Inc

Fort Mill, SC • On-site, Remote

Other

Posted 12 days ago

Job description

Role: AI /ML Engineer

Location: Fort Mill SC or New York NY

Experience: 8–12 Years

Job Summary

We are seeking a highly skilled AI Engineer with expertise in Generative AI, AWS Bedrock, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Vector Databases. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging AWS AI services and modern data architectures.

This role requires hands-on experience in building scalable AI applications, integrating foundation models, implementing RAG frameworks, and deploying production-ready GenAI solutions.

Key Responsibilities

•             Design and develop Generative AI solutions using AWS Bedrock and foundation models.

•             Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases.

•             Develop AI-powered applications including chatbots, virtual assistants, document intelligence, and agentic AI solutions.

•             Integrate LLMs with enterprise applications, APIs, and data platforms.

•             Design and maintain vector search architectures using Pinecone, Weaviate, OpenSearch, ChromaDB, or similar platforms.

•             Develop scalable data ingestion, embedding, indexing, and retrieval pipelines.

•             Implement prompt engineering, model evaluation, fine-tuning, and guardrails.

•             Collaborate with Data Engineers, Solution Architects, and Product teams to deliver AI-driven solutions.

•             Ensure security, scalability, observability, and governance of AI applications.

•             Monitor model performance and continuously improve AI solution accuracy and efficiency.

•             Stay current with emerging AI technologies, LLM frameworks, and cloud-native AI services.

Required Skills

Generative AI

•             Strong understanding of LLMs and Generative AI concepts.

•             Experience with RAG architecture and Agentic AI frameworks.

•             Prompt Engineering and Model Evaluation.

•             Fine-tuning and model optimization techniques.

AWS Cloud

•             AWS Bedrock

•             Amazon SageMaker

•             AWS Lambda

•             API Gateway

•             ECS/EKS

•             S3

•             DynamoDB

•             CloudWatch

•             IAM

Vector Databases

•             Pinecone

•             Weaviate

•             ChromaDB

•             OpenSearch Vector Engine

•             FAISS

•             Milvus

Programming

•             Python (Mandatory)

•             LangChain

•             LangGraph

•             LlamaIndex

•             FastAPI

•             REST APIs

Data & Integration

•             SQL

•             NoSQL Databases

•             ETL Pipelines

•             Data Modeling

•             API Integration

DevOps & MLOps

•             Docker

•             Kubernetes

•             CI/CD Pipelines

•             GitHub Actions

•             Terraform

•             Model Monitoring and Governance

Required Skills for candidate to Qualifiy:-

•             Experience with, Financial Services, or Life Sciences domains.

•             Experience deploying AI solutions in production environments.

•             AWS Certified Machine Learning Engineer or AWS Solutions Architect certification.

•             Experience with multi-agent frameworks and autonomous AI systems.

Education

•             Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Nice to Have

•             Knowledge of Anthropic Claude, Amazon Nova, Llama, Mistral, and OpenAI models.

•             Experience with Knowledge Graphs.

•             Experience with Databricks and Snowflake.

•             Experience with Agentic AI and AI Orchestration frameworks.

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