Principal AI Systems Engineer

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🕒 June 1

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Iovance Biotherapeutics, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Iovance Biotherapeutics, Inc. is pioneering a transformational approach to treating cancer by harnessing the human immune system's ability to recognize and attack diverse cancer cells in each patient. The company focuses on T-cell-based immunotherapy, specifically Tumor Infiltrating Lymphocyte (TIL) therapy, which involves reinvigorating a patient’s TILs to fight cancer. Iovance's TIL therapy is being investigated in clinical trials across multiple advanced solid tumor cancers. Additionally, the company is advancing genetically modified TIL therapies and exploring potential applications of PBL (peripheral blood lymphocyte) therapy for blood cancers. As a leader in cell therapy, Iovance owns a state-of-the-art Cell Therapy Center in Philadelphia for manufacturing their therapies using proprietary GMP. The company is at the forefront of developing personalized and patient-specific cancer treatments.

📋 Description

• Design, build, and ship AI systems against the approved Iovance AI roadmap • Implement production-grade Retrieval-Augmented Generation (RAG) systems • Build, maintain, and run evaluation harnesses for AI systems • Design and implement integrations between AI systems and Iovance enterprise systems • Own and maintain LLM security controls for production AI systems • Design, develop, deploy, and maintain AI agents • Establish and uphold modern engineering practices for AI development • Conduct hands-on technical evaluation of AI vendors, tools, and Foundation Models • Implement and operate technical controls for production AI systems • Author technical documentation appropriate to the system risk tier • Mentor junior engineers who collaborate on AI projects

🎯 Requirements

• 10+ years of progressive software and/or AI/ML engineering experience • Deep, hands-on production experience with Retrieval-Augmented Generation (RAG) • Practical working experience across multiple frontier model families • Strong software engineering fundamentals • Hands-on, builder disposition • Working production experience with AWS data and AI services is strongly preferred • Working knowledge of enterprise search and retrieval services

🏖️ Benefits

• Health insurance • Flexible work hours • Professional development opportunities