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Mistral Jobs in Georgia (NOW HIRING)

AI Engineer

Alpharetta, GA · On-site

$140 - $180/hr

Hands‑on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems. * Experience with NLP, conversational AI, and LLM‑based applications. * Familiarity with vector ...

New

$98K - $127K/yr

Cost-efficiency at scale is a core engineering challenge - we continuously benchmark and switch between LLM providers (OpenAI, Gemini, Mistral, Grok, Nebius, Claude) to balance quality and spend.

Showing results 21-22

Mistral information

See Georgia salary details

$12.7K

$203.7K

$326.8K

How much do mistral jobs pay per year?

As of Aug 20, 2026, the average yearly pay for mistral in Georgia is $203,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $168,900.00 and $253,300.00 per year, depending on experience, location, and employer.

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 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 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 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 is it like to work at Mistral?

Working as a Mistral involves engaging in roles that may require technical skills, teamwork, and adherence to safety protocols. Employees often work in collaborative environments with a focus on efficiency and quality, and may need to be adaptable to changing project demands or schedules.

What are popular job titles related to Mistral jobs in Georgia?

For Mistral jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Mistral jobs?

Cities in Georgia with the most Mistral job openings:

Infographic showing various Mistral job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, 9% Contract, and 3% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $203,746 per year, or $98 per hour.

$140 - $180/hr

Other

Medical, PTO

Posted 2 days ago

New


Job description

Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward-thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands‑on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies. You will design, build, and optimize intelligent systems that power automation, personalization, and decision-making across our FinTech platforms. This is a unique opportunity to work at the intersection of cutting‑edge AI research and real-world enterprise applications.

What you’ll own
  • Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems and deliver measurable value.
  • Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud‑native tools.
  • Collaborate with data scientists, product managers, and engineers to translate business requirements into AI‑powered solutions.
  • Implement and optimize AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.
  • Apply techniques such as prompt engineering, RAG (Retrieval‑Augmented Generation), fine‑tuning, and RLHF to enhance model performance.
  • Develop and deploy autonomous AI agents using frameworks like LangChain, LangGraph, and AgentSpace.
  • Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and memory in generative systems.
  • Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models.
  • Stay current with AI research and industry trends, and evaluate emerging tools and techniques for enterprise adoption.
  • Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.
What you’ll bring
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in AI/ML engineering, with a strong foundation in ML/DL algorithms and systems.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and Transformers.
  • Hands‑on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.
  • Experience with NLP, conversational AI, and LLM‑based applications.
  • Familiarity with vector search and semantic retrieval technologies.
  • Strong understanding of MLOps, including model deployment, monitoring, and retraining.
  • Experience building production‑grade AI systems at scale in cloud environments.
  • Hands‑on experience with development on Google Cloud Platform.
  • Excellent problem‑solving, communication, and collaboration skills.
It’s a bonus if you have
  • Experience with prompt engineering, RLHF, and LLM evaluation techniques.
  • Understanding of AI governance, safety, and responsible AI principles.
  • Familiarity with reinforcement learning, multi‑agent systems, and autonomous workflows.
  • Experience with big data technologies (e.g., Apache Spark, Kafka) and real‑time data processing.
  • Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery, Snowflake).
  • Contributions to open‑source AI projects or publications in the AI/ML field.Familiarity with CI/CD pipelines, infrastructure‑as‑code, and cloud‑native AI tooling.
  • Ability to work proactively with a high level of initiative and accuracy.
  • Ability to manage multiple assignments effectively and meet established deadlines.
  • Strong interpersonal skills to interact professionally with staff and stakeholders.
  • Excellent organizational skills and attention to detail.
  • Critical thinking ability ranging from moderately to highly complex tasks.
  • Flexibility in adapting to changing business needs and priorities.
  • Ability to work creatively and independently with minimal supervision.
  • Ability to utilize experience and judgment in accomplishing goals.
  • Experience in navigating organizational structures and collaborating across teams.
About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections - it’s unmatched. Come and be part of an ever‑evolving company and get dynamic opportunities that go beyond borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.

Applicant must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; We will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment‑based visa).

Diversity and EEO Statements

Global Payments is an organization that stands against racism, intolerance and injustice in all its forms — one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice.

Explore the benefits we offer in the USA

My Health

We offer access to medical coverage that supports the health and wellbeing for you and your family.

My Money

In addition to base salary, you may be eligible for bonuses and/or equity awards, determined by role, level, impact, and our policies.

My Lifestyle

We have a dedicated Wellness Week each year - which includes an extra paid day off - so you can take time to relax, recharge and invest in your wellbeing.

My Family

FLEX, our family inclusion community, offers support for all Globalpayers at every stage, from raising families to caring for loved ones

My Time Off

We offer paid time off and public holidays so you can rest, recharge and spend time on what matters most.

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