Sierra Studio
Staffing Clients Jobs
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at Sierra Studio. Skills: AI pipelines, Feature development, AI research, AI/ML models, Platform stability and maintenance, Code quality, Technical documentation, Engineering planning and processes, Stack architecture. Develop AI pipelines. Lead feature development”
What You'll Achieve.
Help bring the clients product to market; Drive the success of the project; Simplify the onboarding process for newcomers
Industry & Context.
Engineer solutions for real problems; Understand, design, and deploy solutions using AI/ML models for real problems
What They're Looking For.
Must Have
7+ years of experience as an AI engineer, 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, Experience with relational databases (e. g. PostgreSQL, MySQL, etc), Experience with Google Cloud Platform products
Nice to Have
Familiarity with document processing and OCR tools, Growth mindset: able to quickly learn new languages, frameworks, and more
What You'll Do.
Lead feature development
Maintain the codebase
Improve infrastructure
Write documentation and tests
Manage infrastructure
Engineer solutions for real problems
and deploy solutions using AI/ML models
Own platform stability and maintenance
Manage the deployment lifecycle of new features and fixes
Ensure the platform is stable
and has good observability
Craft high-quality code
Refine best practices
Drive engineering planning and processes
Architect and evolve the overall stack
How You'll Work.
Team & Collaboration
Work with peers to bring the best product to market; Engage with cross-functional partners; Collaborate closely with product and stakeholders; Actively engage in code reviews; Participate in sprint planning, effort estimation, capacity planning, and release management
Communication Scope
Written and verbal communicator in English; Articulate technical concepts clearly
Process & Methodology
Drive engineering planning and processes, Participate in sprint planning, effort estimation, capacity planning, and release management
Full Job Description
About Sierra Studio When you apply to Sierra, you join an ecosystem. We specialize in connecting talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. Applying to Sierra seamlessly integrates you into this ecosystem, granting automatic eligibility for all relevant opportunities we offer. About our hiring partner Our hiring partner is a platform that simplifies third-party insurance compliance management with smart tools and expert guidance. They help proactively identify and address coverage gaps, automate tracking and notifications, and collaborate with partners across the construction industry. About the role As an AI Engineer, you will develop AI pipelines and lead feature development to help bring the clients product to market. You will also maintain the codebase, build eval pipelines, do AI research, improve infrastructure, write documentation and tests, manage infrastructure, and work with peers to bring the best product to market. As part of a new and growing team within an existing organization, you will be instrumental in shaping the engineering culture surrounding this new product offering. What You'll Do - 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 pract
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