Backend Engineer - AI-Powered Search & Applications (Remote | Immediate Joiners Only)

Proximity Works

high-performance backend systems

Role Summary

Backend Engineer

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.

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.

Success Traits

• 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

  .