
Staff Software Engineer – AI Backend Services
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in France.
• Define the technical strategy and architecture for AI backend platforms based on Python, utilizing FastAPI.
• Design scalable, reliable, and secure systems on AWS using Lambda and EKS.
• Drive technical decisions that influence engineering practices and platform capabilities across the organization.
• Design and advocate for observability within AI systems using tools such as LangChain, Langfuse, and litellm.
• Set standards for monitoring, logging, observability, and operational excellence.
• Lead initiatives aimed at enhancing the performance, security, and scalability of large-scale AI applications.
• Mentor engineers through code reviews, architecture assessments, and by providing technical leadership.
• Identify areas of technical debt, performance bottlenecks, and architectural limitations, and spearhead long-term solutions.
• Collaborate with engineering leadership, product teams, and stakeholders to ensure alignment of technical strategies with business goals.
• Influence technology selections, design patterns, and best practices within the AI Software & Operations department.
• Represent the team in organization-wide technical discussions and promote the adoption of innovative solutions.
• Over 7 years of professional experience in software engineering, with a strong focus on backend and distributed systems.
• Advanced proficiency in Python for large-scale production environments.
• Deep understanding of LLMs, generative AI architectures, and AI infrastructure, including LangChain, litellm, Langfuse, and OpenAI/Anthropic APIs.
• Proven experience in architecting and delivering complex, scalable platforms on AWS.
• Expert knowledge in microservices architecture, distributed systems design, and event-driven architectures.
• Familiarity with Docker, Kubernetes, containerization, orchestration, and cloud-native design patterns.
• A strong track record of technical leadership, mentoring engineers, and making an organizational impact.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Exceptional strategic thinking skills with the ability to balance immediate delivery with long-term architectural vision.
• Equal opportunity employer.
• Reasonable accommodations to support candidates and their future careers.
• Accessible careers website and application/interview assistance for accessibility requests.
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