Senior Backend Engineer (AI)

TL;DR

Senior Backend Engineer (AI): Designing, developing, and maintaining backend services and APIs to support machine learning models and data pipelines with an accent on scalability, efficiency, and system reliability. Focus on improving machine learning infrastructure, automation of pipelines, and workflows, and contributing to architectural decision-making.

Location: Paris

Company

hirify.global is building a unified AI agent that sells, supports, and re-engages customers across the entire journey.

What you will do

• Design, develop, and maintain back-end services and APIs that support machine learning models and data pipelines.
• Collaborate with machine learning engineers and data scientists to deploy and integrate models into production environments.
• Build scalable, efficient systems to handle large volumes of data and ensure optimal performance.
• Improve infrastructure for machine learning, including automation of pipelines and workflows.
• Implement testing, monitoring, and deployment best practices to ensure robust and reliable systems.
• Participate in architectural decision-making to support long-term scalability and growth of the platform.

Requirements

• Strong experience as a Back-End Engineer, with expertise in building APIs and scalable services.
• Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Experience deploying machine learning models in production environments.
• Solid understanding of distributed systems, data pipelines, and cloud platforms (AWS, GCP, or Azure).
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with SQL and NoSQL databases, with experience in optimizing data storage and retrieval.

Nice to have

• Hands-on experience with big data frameworks (e.g., Spark, Flink) and stream processing.
• Background in DevOps practices, including CI/CD pipelines and infrastructure automation.
• Knowledge of best practices for data privacy, security, and compliance in machine learning applications.

Culture & Benefits

• Competitive salary & equity.
• 5-week vacation plus 2 weeks RTT.
• Paid sick leave and parental leave (16 weeks).
• MacBook Pro provided.
• Personal credit card to buy lunches.
• Private health insurance.