Software Engineer, Mistral AI
Deployment Infrastructure
+ Equity
3+ days a week in office
Generative AI model developers
Open for applications
Generative AI model developers
101-200 employees
Open for applications
+ Equity
3+ days a week in office
101-200 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 5+ years of relevant professional work experience
- Master’s degree in Computer Science, Information Technology or a related field
- Excellent proficiency in backend software development (Python, Golang)
- Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
- Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
- Autonomous and self-starter profile
- Ability to communicate with influence
What the job involves
- We are seeking experienced backend software engineers to join our Deployment team. You'll help deploy and integrate our products (models, APIs, AI Studio...) across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions
- You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology
- As a Software Engineer in the Deployment team, you will be responsible for:
- New releases – you will ensure fast and reliable launch of new products (from models to APIs) to customers
- Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
- Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
- Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
- Build automation to increase deployment performance (velocity, scalability)
- Foster architecture improvements to make our products deployable on all configurations (including on-premise)
- Drive cross-functional feature improvements with other product engineering teams (Le Chat, API/SDK, Mistral Code...)
- Contribute to key technology and architecture trade-offs to break our deployment stack down into small, maintainable and testable pieces
Application process
- Introduction call - 45 min
- Hiring Manager Interview - 30 min
- Live-coding Interview (Python) - 45 min
- System Design Interview - 45 min
- Culture-fit discussion - 30 min
- Reference checks
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$542.5m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 89 more jobs at Mistral AI