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Staff Full Stack AI Engineer

Durham, North Carolina

Piper Companies Logo

Job Id:
158102

Job Category:

Job Location:
Durham, North Carolina

Security Clearance:
No Clearance

Business Unit:
Piper Companies

Division:
Piper Enterprise Solutions

Position Owner:
Hannah Lifrieri

Piper Companies is seeking a Staff Full Stack AI Engineer to support platform development, greenfield initiatives, and early‑stage AI feature exploration for an exam‑prep organization focused on delivering accurate, original, and purpose‑built test preparation content. The candidate will sit in office with a flexible hybrid work schedule in Durham, NC.


Responsibilities include:

· Build full‑stack and AI‑driven systems using Typescript and Python, rapidly executing high‑level concepts with a self‑driven, hacker mindset

· Lead R&D efforts including greenfield development, proofs of concept, API integrations, and functional prototypes for exam readiness, content individualization, and directed topic learning

· Contribute to technical planning by defining scope, evaluating complexity, and architecting solutions grown from R&D work


Qualifications include:

· 7–10 years full‑stack engineering experience

· Strong experience in Typescript, Python, and exposure to LLMs and ML/AI concepts

· Ability to explore, test, and benchmark emerging AI tools and technologies



Compensation includes:

· $175,000 – $210,000 annually with Medical, Dental, Vision, 401k, PTO, and sick leave as required by law

· Flexible Hybrid Schedule


This job opens for applications on 1/16/2026 and will accept applications for at least 30 days from the posting date.


Staff Full Stack Engineer, AI Engineer, Typescript, Strong TypeScript Experience, Python, Python Experience, LLM systems, experience with LLMs and ML/AI concepts, full‑stack development, AI‑enhanced systems, distributed systems, API integration, connect APIs, data manipulation, greenfield development, early‑stage proof of concepts, internal and external development tools, hacker mindset, self‑driven engineer, autonomous execution, R&D engineering, proof‑of‑concept development, explore tools


#LI-HL1 #LI-HYBRID

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