
Senior Software Engineer – AI Copilot
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Portugal.
• Take ownership of and deliver comprehensive product features from the technical design phase through implementation, testing, release, and iteration.
• Collaborate with ML Scientists and ML Engineers to incorporate ML-driven functionalities into dependable, user-facing features.
• Engage in discussions regarding technical design and influence architectural decisions.
• Develop and sustain scalable backend services, APIs, and integrations that enhance AI-driven product experiences.
• Partner with Product Management, Design, and engineering teams to convert product requirements into actionable technical tasks.
• Enhance system reliability, performance, and maintainability.
• Recognize and resolve technical debt.
• Guide junior engineers through code reviews, pair programming, and knowledge sharing.
• Over 5 years of experience in building and managing large-scale, Internet-facing applications.
• Proficient in Ruby.
• Working knowledge of Python is advantageous.
• Strong background in distributed systems, RESTful APIs, and AWS cloud infrastructure.
• Experience with Docker, Kubernetes, and CI/CD methodologies.
• Proven ability to take features from inception to production with a focus on quality.
• Capability to navigate uncertainty and shifting priorities.
• Ability to collaborate effectively with ML engineers and scientists.
• Excellent collaboration skills.
• Preferred: Familiarity with SQL and data infrastructure, including Snowflake and dbt.
• Preferred: Knowledge of LLM integration patterns, including prompt engineering, evaluation, monitoring, or multi-provider setups.
• Preferred: Awareness of ML pipeline tools like Metaflow or ML frameworks.
• Preferred: Experience with event-driven architectures such as Kafka.
• Preferred: Background in A/B testing, feature flags, and incremental rollouts.
• Hybrid work model offering flexibility to work remotely for part of the week.
• An inclusive workplace environment.
• Reasonable accommodations available for applicants with disabilities and disabled veterans.
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