Senior AI Engineer: Create & Own End-to-End AI Products

Calliere Group

New York (NY)

On-site

USD 180,000 - 240,000

Full time

12 days ago
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Job summary

Calliere Group seeks a Senior AI Engineer to be a core builder who ships end-to-end AI products from validated concepts to real users in production. If you have shipped production AI systems, enjoy taking ownership, and want to see tangible fingerprints on what you create, keep reading.

You will collaborate with product and design partners to shape what gets built, move quickly to prove value, and carry working ownership across diverse product contexts while embracing ambiguity as the job itself.

Qualifications

  • Extensive experience in rigorous engineering environments such as top quant firms or high-bar tech companies.
  • Proven production AI deployments with real users and post-launch reliability.
  • Demonstrated entrepreneurial projects showing 0→1 impact inside a larger org.
  • STEM degree from a strong program.
  • Strong business acumen to engage non-technical stakeholders.

Responsibilities

  • Build end-to-end agentic AI systems with integration and orchestration.
  • Move from rough scope to shipped product and production stability.
  • Pull reusable patterns to accelerate future builds.
  • Collaborate with product and design to shape what gets built.
  • Adapt across diverse product contexts and navigate ambiguity.

Skills

End-to-end AI
Production systems
Entrepreneurial track
Commercial EQ
Stakeholder communication

Education

CS/Math/Physics/Engineering degree

Tools

Python
LLMs
Agentic AI frameworks
RAG/retrieval systems
CI/CD
Observability

Job description

Calliere Group seeks a Senior AI Engineer to be a core builder who ships end-to-end AI products from validated concepts to real users in production. If you have shipped production AI systems, enjoy taking ownership, and want to see tangible fingerprints on what you create, keep reading.

You will collaborate with product and design partners to shape what gets built, move quickly to prove value, and carry working ownership across diverse product contexts while embracing ambiguity as the job itself.

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