Senior AI Engineer

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🕒 May 11

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Sierra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Sierra is a company that specializes in transforming customer experiences through the power of conversational AI. Their platform enables businesses to deploy AI agents that are empathetic, always available, and aligned with the brand's tone and voice. Sierra offers capabilities for real-time support, seamless integration into existing technology stacks, and the capacity to solve complex issues while continuously improving the customer experience. Trusted by leading brands, Sierra's AI platform is designed with a strong commitment to security and privacy, ensuring safe and secure interactions. The platform allows for personalization, enabling companies to imbue their AI agents with their own identity and processes, ensuring consistency and reliability across all customer interactions.

📋 Description

• Engineer solutions for real problems - Understand, design, and deploy solutions using AI/ML models for real problems • Own platform stability and maintenance – Manage the deployment lifecycle of new features and fixes, ensure the platform is stable, scalable, and has good observability. • Craft high-quality code – Produce clear and efficient code, actively engage in code reviews, and champion technological excellence. • Write tech specs – Translate business needs into creative and technically robust solutions. • Engage with cross-functional partners – Collaborate closely with product and stakeholders to drive the success of the project. • Document thoroughly – Create comprehensive technical documentation, simplifying the onboarding process for newcomers. • Refine best practices – Proactively seek and implement improvements in engineering and organizational workflows. • Drive engineering planning and processes - Participate in sprint planning, effort estimation, capacity planning, and release management. • Architect and evolve the overall stack - Guide technology decisions and stack improvements; anticipate scaling challenges.

🎯 Requirements

• 7+ years of experience as an AI engineer, with at least 2 years in a senior role • Experience working with LangGraph • Experience deploying end to end AI solutions to real customers • Experience creating and maintaining eval pipelines • Familiarity with document processing and OCR tools • Experience with relational databases (e.g. PostgreSQL, MySQL, etc) • Experience with Google Cloud Platform products • Growth mindset: able to quickly learn new languages, frameworks, and more • Strong written and verbal communicator in English

🏖️ Benefits

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