Backend Engineer – AI-Powered Search and Applications

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September 14

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Proximity Works

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Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Design and build scalable microservices that power Proximity’s AI-driven search and discovery stack. • Develop backend services and APIs to support LLM-powered applications. • Collaborate with ML engineers and data scientists to integrate RAG pipelines, multimodal models, and inference workloads into production. • Optimize inference pipelines for latency, throughput, and cost efficiency (e.g., batching, caching, token budgeting). • Own end-to-end delivery of complex backend projects, from design to deployment and monitoring. • Write high-quality, maintainable code with rigorous testing and fault-tolerant practices. • Drive operational excellence through performance tuning, incident response, and root cause analysis. • Work cross-functionally with Product Managers, Data Scientists, and global engineering teams to translate business needs into scalable technical solutions. • Deliver robust, resilient backend systems with high availability, reduced inference latency, and lower infrastructure costs. • Maintain clear documentation and monitoring practices to ensure operational smoothness.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field. • 4–6 years of backend development experience, ideally with exposure to AI or large-scale data systems. • Proficiency in Java, Golang, or Python with strong coding and system design fundamentals. • Experience designing and scaling distributed systems at production scale. • Exposure to LLM inference setups (e.g., vLLM, Hugging Face Inference, Triton). • Strong debugging, profiling, and performance tuning skills for latency-sensitive applications. • Knowledge of storage systems, query optimization, and caching strategies. • Hands-on experience with AWS (preferred), Kafka, and CI/CD pipelines. • Ability to work autonomously and deliver in fast-paced environments. • Passion for mentoring engineers and leading by example. • Curiosity about ad-tech and search systems, and how to optimize them for user and business outcomes.

🏖️ Benefits

• Work directly on frontier AI problems with some of the world’s largest sports, media, and entertainment brands. • Be part of a global-first, high-performance engineering culture. • Competitive compensation aligned with global markets, with remote-first flexibility. • Annual global off-sites with Proxonauts from San Francisco, Dubai, India, and beyond. • High autonomy, direct accountability, and the opportunity to ship AI systems at scale.