1 день назад
Senior Applied AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (AI): Designing and deploying scalable AI-based solutions to improve R&D efficiency for quantum experiments with an accent on LLMs and agentic AI systems. Focus on implementing LLMOps, building evaluation pipelines, and automating complex research workflows.
Location: Hybrid in Paris, France
Company
is a quantum computing company focused on developing advanced R&D processes and quantum architecture.
What you will do
- Lead the design, development, and delivery of AI-powered features and tools for R&D teams autonomously.
- Evaluate, benchmark, and deploy LLMs and agentic AI systems for simulation and real-life quantum experiments.
- Implement and promote LLMOps and DevOps best practices, including model versioning and CI/CD pipelines.
- Collaborate with researchers, engineers, and product managers to translate needs into technical AI workflows.
- Lead design and code reviews and mentor junior engineers in their technical growth.
Requirements
- 5+ years of professional software engineering experience.
- 2+ years of experience focusing on AI/ML systems in production (LLMs, RAG, or agentic pipelines).
- Strong track record of shipping maintainable code using CI/CD, testing, and observability.
- Hands-on experience with prompt engineering, evaluation frameworks, and model selection.
- Professional English proficiency, both written and spoken.
Nice to have
- Experience working in scientific or R&D-heavy organizations.
- Experience with agentic AI frameworks such as LangChain.
- Knowledge of workflow automation tools or data pipelines (Airflow, Prefect).
- Experience with infrastructure-as-code and cloud platforms (AWS, GCP, Azure).
Culture & Benefits
- Equity through a BSPCE plan and direct IP compensation for core patent contributions.
- Hybrid work policy with up to 40% remote work per month.
- Comprehensive parental plan including crèche support and additional days off for childcare.
- Mental health support via moka.care and Urban Sports Club membership.
Hiring process
- Screening call, Hiring Manager interview, and Technical interview with the team.
- Leadership and Fit interviews.
- Reference check.
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