Senior AI Engineer

Calliere Group; New York (NY); On-site; USD 180,000 - 240,000; Full time

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

Build the thing, then build the company around it.

Our client backs and builds AI-native ventures from the ground up, and they're looking for a Senior AI Engineer who wants to be a core builder, not employee #400. You'll take validated concepts and turn them into real products with real users, then keep going as those products find their footing. If you've shipped end-to-end AI systems to production, built things nobody asked you to build, and want genuine ownership in what you create, keep reading.

You're probably a strong engineer from a demanding technical environment with an entrepreneurial itch. Someone who's tired of incremental work on someone else's platform and wants to see their own fingerprints on something that ships.

What you'll do

• Build end-to-end agentic AI systems: agents, retrieval, orchestration, tool integrations. From a blank repo through product-market fit
• Take a product from rough scope to shipped, cutting hard to the smallest version that proves value, then hardening it for production
• Pull reusable patterns and primitives out of each build so the next one starts further down the road
• Work shoulder-to-shoulder with product and design partners to shape what gets built, not just how
• Move fluidly across very different product contexts, and treat ambiguity as the job rather than an obstacle

Requirements

What you bring

• Several years of experience at an environment known for engineering rigor. A top quantitative trading firm or a high-bar technology company, with individual output you can clearly point to as your own
• A track record shipping AI systems to production and operating them after launch: real users, real failure modes, a real post-launch story. Not demos, notebooks, or research prototypes.
• A visible entrepreneurial streak: a side project, a startup, a founding or early role, or a genuine 0→1 effort inside a larger org. Evidence you don't just execute what's handed to you.
• A STEM degree (CS, Math, Physics, Engineering) from a strong program.
• Commercial EQ: you can hold your own with non-technical stakeholders, customers, and partners, not only other engineers.

Tech you'll work with

Python, LLMs, agentic AI frameworks, RAG and retrieval systems, model serving, evaluation and regression suites, CI/CD, observability and monitoring.

Who tends to thrive here

• Engineers from AI-native startups, or founding/early engineers who've shipped real product to real users
• Quant or quant-adjacent engineers with an entrepreneurial background who want to move into building product

Probably not the right fit

• Researchers who want to build models with no commercial responsibility or product ownership.
• Engineers whose experience is incremental improvements to established systems, with no 0→1 signal.
• Short-tenure pattern.