6 часов назад
AI Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Generative AI): Building generative AI capabilities for threat research and fraud detection with an accent on automated traffic analysis, detection summaries, and cloud-based AI systems. Focus on developing multi-agent use cases, integrating AI-powered features into products, and building the Gen AI stack on AWS or GCP.
Location: Remote from France; monthly visits to the Paris office are supported for fully remote employees.
Company
provides real-time bot and agent trust management using AI-powered traffic analysis and fraud prevention.
What you will do
- Apply generative AI to threat detection, including multi-agent automation for traffic analysis and SOC response.
- Develop AI-powered threat research features such as detection summaries based on previous improvements.
- Identify and develop generative AI use cases for fraud detection.
- Collaborate with technology teams to deliver AI-powered product features.
- Build the Gen AI stack in the cloud using AWS or GCP.
Requirements
- First experience in applied AI engineering.
- At least two years of programming experience in Python.
- Strong computer science background.
- Good theoretical knowledge of LLMs and AI engineering.
- Strong communication skills and a hacker mindset.
Nice to have
- Knowledge of GCP Vertex AI or AWS Bedrock.
- Experience with multi-agent frameworks such as CrewAI.
- Experience with PyTorch.
Culture & Benefits
- Remote work options with a €500 workspace setup stipend.
- Monthly office visits supported with an SNCF discount card for fully remote employees.
- Healthcare coverage through Kenko.
- Annual sports or culture allowance and a bicycle maintenance allowance for office commuters.
- Learning and development platform with additional training support.
- Company offsites, team events, drinks, winter parties, and Lunch & Learns.
- PTO is based on the country of residence, with 25 days in France as an example.
Hiring process
- Interview with a Talent Acquisition Manager focused on cultural fit.
- Technical and cultural interview with an Engineering Manager, including a take-home technical challenge.
- Technical proposal presentation and review with the team, followed by a leadership discussion.
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