Join Proximity Works, one of the world’s most ambitious AI technology companies, shaping the future of Sports, Media, and Entertainment. Since 2019, Proximity Works has created and scaled AI-driven products used by 697 million daily users, generating $73.5 billion in enterprise value for our partners. Headquartered in San Francisco with offices in Los Angeles, Dubai, Mumbai, and Bangalore, we help global brands discover high-impact AI use cases, build transformative tech stacks, and scale to hundreds of millions of users.
If you’re excited about building high-performance backend systems at the frontier of AI, this role will give you the opportunity to make global impact.
Role Summary
We are seeking a Backend Engineer to design, build, and scale resilient microservices and APIs that power next-generation AI products. You will partner closely with ML engineers and data scientists to productionize LLMs, RAG pipelines, and multimodal models, ensuring inference is fast, cost-efficient, and production-grade. This is a hands-on role for someone passionate about distributed systems, performance optimization, and bringing cutting-edge AI to millions of users.
What You’ll Do- 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.
- Robust, resilient backend systems powering AI-driven applications for Proximity’s global partners.
- Consistent reduction in inference latency and infrastructure costs.
- High availability and fault tolerance across production services.
- Rapid, collaborative feature delivery with product and ML teams.
- Clear documentation and monitoring practices that ensure operational smoothness.
RequirementsWhat You’ll Need
- 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.
Builder’s mindset · High ownership · Analytical clarity · Collaborative spirit · Global mindset · Growth orientation
BenefitsWhy Join Proximity Works
- 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.
