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GALE is seeking a Senior Associate, Core Technology to design and build high-performing web applications and platform services. You will lead backend development in Python/Django, collaborate across the stack with modern front-end ecosystems, and advance AI/LLM integrations including RAG and agent workflows.
You’ll work in an agile, sprint-driven environment, emphasizing clean architecture, automated testing, and scalable systems.
GALE is a creative media consultancy that brings business insights to brand storytelling and activates it across every channel. With expertise in business strategy, media, CRM, addressable and integrated brand communications, performance marketing, and technology, GALE creates marketing systems and communications that grow businesses. GALE delivers strong outcomes for its partners in automotive, QSR, retail, gaming, entertainment, telecom and more. The agency currently has offices in New York, Detroit, Singapore, Toronto, Austin, Los Angeles, London, and Bengaluru.
Our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft.
If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you.
As a Senior Associate, Core Technology, you’ll leverage your technical depth and problem-solving skills to build reliable, lightweight, high-performing web applications and platform services. While your strength is back-end development (Python/Django and related frameworks), you’re comfortable collaborating across the stack and are conversant with modern front-end ecosystems (React/Angular/Vue). You thrive in an agile, sprint-driven environment and bring a strong engineering mindset: clean architecture, test-driven development, automated testing, CI/CD, and scalable system design. You’re also excited by the evolution of AI engineering - especially RAG (Retrieval-Augmented Generation), LLM integrations, and agentic workflows. You can take a problem from ambiguity to delivery—design → build → test → deploy → iterate.