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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.
What 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
Why 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
Key Skills
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