Calliere

12 Calliere Jobs Hiring Near You

Senior & Staff Platform Engineer

New York, NY ยท On-site

$114K - $157K/yr

Hybrid - New York City About the Company We're building a next-generation platform that blends human expertise with modern technology to transform how people connect, plan, and experience the world.

Senior & Staff Platform Engineer

New York, NY ยท On-site

$114K - $157K/yr

Hybrid - New York City About the Company We're building a next-generation platform that blends human expertise with modern technology to transform how people connect, plan, and experience the world.

\n \n \n Hybrid - New York City \n \n About the Company \n \n \n We're building a next\-generation platform that blends human expertise with modern technology to transform how people connect, plan ...

CA$150K - CA$220K/yr

\n \n \n We're building a nextgeneration platform reshaping how people turn their passions into real businesses. Think of it as part community, part operating system, and part empowerment engine. A ...

Senior & Staff Platform Engineer

Manhattan, NY ยท On-site

$114K - $157K/yr

\n \n \n Hybrid - New York City \n \n About the Company \n \n \n We're building a next\-generation platform that blends human expertise with modern technology to transform how people connect, plan ...

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Infographic showing various job openings at Calliere in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Senior AI Engineer (LLM & Agent Systems) - Platform

Calliere

New York, NY โ€ข On-site

Full-time

Posted 15 days ago


Job description

Role Summary This role focuses on designing and scaling reusable AI-driven workflows, particularly those powered by large language models and autonomous agents. You will build foundational components and abstractions that enable multiple internal teams to rapidly develop and deploy intelligent systems. The position emphasizes system reliability, evaluation rigor, and thoughtful tradeoffs in model and tooling selection.

Core Ownership Areas Develop reusable agent-based workflows to accelerate delivery across multiple projects. Define and maintain evaluation standards to ensure consistent model performance over time. Improve system reliability across key dimensions such as accuracy, latency, and robustness.

Build shared APIs and platform components used broadly across engineering teams. Key Responsibilities Design and implement orchestration patterns for LLM-powered agents. Evaluate and select models, tools, and providers based on performance, cost, and reliability.

Build testing frameworks, evaluation pipelines, and monitoring systems for AI outputs. Implement safeguards, fallback mechanisms, and cost optimization strategies. Collaborate with platform and backend engineers to integrate AI capabilities into scalable services.

Identify repeatable patterns across projects and convert them into reusable platform features. Requirements Required Experience Strong background in building production-grade distributed systems or platform infrastructure. Practical experience developing and deploying LLM-based or agent-driven systems.

Demonstrated ability to design for reliability, observability, and cost efficiency. High standards for code quality and system design. Nice-to-Have Experience Familiarity with retrieval systems, embeddings, or context management pipelines.

Experience working within regulated or security-conscious environments. Approach to Work Prioritizes measurable quality through structured evaluation and testing. Designs systems for reuse, scalability, and clean abstraction layers.

Focuses on building solutions that generalize beyond a single use case or team. Benefits - Hybrid onsite. - Incredible perks and comp package.