Applied AI Engineer
jobgether
France
Temps plein
60 autres offres à France.
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Accountabilities:
- Build and enhance platform services such as LLM routing/proxy systems, internal APIs, and reusable AI/ML tooling
- Develop and improve LLM and ML operations capabilities, including observability, monitoring, evaluation, and deployment workflows
- Support the full lifecycle of AI systems, including testing, scaling, optimization, and production reliability
- Collaborate with product, infrastructure, and data teams to ensure consistent and reusable AI development practices
- Contribute to system design decisions that improve performance, cost efficiency, safety, and latency of AI services
- Evaluate and integrate emerging AI models, frameworks, and tools into shared platform capabilities
Requirements
- 4+ years of software engineering experience, including work on production systems
- At least 1 year of experience in ML Ops, LLM Ops, or AI/ML infrastructure-related roles
- Experience building backend systems, internal platforms, or developer tooling used by engineering teams
- Strong understanding of the end-to-end ML/LLM lifecycle, including deployment and production operations
- Solid engineering fundamentals with the ability to balance trade-offs across reliability, scalability, latency, cost, and maintainability
- Strong collaboration and communication skills, with a team-oriented mindset
- Familiarity with or willingness to work with TypeScript and Python in backend and platform contexts
- Competitive compensation package including base salary, variable pay, and equity
- Comprehensive healthcare coverage (medical, dental, and vision)
- Flexible working arrangements with a remote-first or hybrid-friendly culture
- Unlimited paid time off and generous parental leave policies
- Learning and development budget to support continuous growth
- Home office stipend and equipment support
- Mental health and wellness resources
- Opportunity to work on cutting-edge AI infrastructure used at scale
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