AI Development Engineer

Proximity is a leading global technology, design, and consulting partner, renowned for collaborating with major players in the Sports, Media, and Entertainment industries. Headquartered in San Francisco, with additional offices in Palo Alto, Dubai, Mumbai, and Bangalore, Proximity has been instrumental in building high-impact, scalable products since 2019. These products are utilized daily by millions of users worldwide.

The company fosters a dynamic environment where a global team of engineers, designers, product managers, and experts come together to tackle complex challenges and develop cutting-edge technology at scale. Proximity is committed to continuous learning, offering opportunities to work with a world-class team and stay at the forefront of AI, engineering, and product development advancements. They provide a best-in-class salary for strong talent and opportunities for high-impact work, building AI-first systems and products used globally.

Proximity Works is seeking a highly skilled AI Development Engineer to tackle intricate engineering challenges. This role is pivotal in leveraging artificial intelligence to significantly enhance the speed, quality, and cost-effectiveness of development processes. You will be at the forefront of reimagining traditional software engineering for an AI-augmented future, shifting focus from purely code-heavy execution to sophisticated system orchestration, structured thinking, rigorous validation, and the development of intelligent agentic applications.

The ideal candidate is a seasoned, hands-on engineer adept at utilizing AI tools, foundation models, and multimodal systems for research-driven implementation. Your expertise will be crucial in building reliable, scalable, and production-ready AI applications. You will translate ambiguous product or business requirements into clear technical specifications, design robust AI-powered production systems, and orchestrate complex workflows involving LLMs, VLMs, tools, APIs, and traditional microservices.

You will also focus on maintaining code quality, security, performance, and long-term maintainability while preventing AI-generated code bloat. Building comprehensive observability, evaluation, testing, and monitoring systems for AI outputs will be a key responsibility. Furthermore, you will optimize prompts, model selection, workflows, and inference costs, all while applying Responsible AI principles such as safety, privacy, fairness, transparency, and accountability. Collaboration with cross-functional teams across product, engineering, security, data, and design is essential, as is mentoring other engineers in AI-first development practices.

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