Backend Engineer - Ai - powered Search & Applications (remote | Immediate Joiners) - Remote Eligible

Proximity Works Backend Engineer

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.

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.

What Success Looks Like

• 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.