Proximity Works

Data Scientist

• Design, fine-tune, and optimize LLMs for applied multimodal generation use cases.
• Build and productionize RAG pipelines that combine embedding-based search, metadata filtering, and LLM-driven re-ranking/summarization.
• Apply prompt engineering, RAG techniques, and model distillation to improve grounding, reduce hallucinations, and ensure output reliability.
• Define and implement evaluation metrics across semantic search (nDCG, Recall@K, MRR) and generation quality (grounding accuracy, hallucination rate).
• Optimize inference pipelines for latency-sensitive use cases with strategies like token budgeting, prompt compression, and sub-100ms response targets.
• Train and adapt models via transfer learning, LoRA/QLoRA, and checkpoint reloading, ensuring robust deployment in production environments.
• Collaborate with product and research teams to explore innovative multimodal integrations for user-facing applications.

Senior Data Scientist – LLMs, RAG, Multimodal AI

Backend Engineer

• 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.

Backend Engineer – AI-Powered Search and Applications

Technical Recruiter

• Own the end-to-end closure of senior AI, ML, multimodal, backend, and engineering hires globally
• Build adjacency maps of companies, labs, and communities working on relevant frontier problems
• Generate technical screening prompts, knockout questions, and rubrics independently
• Source beyond LinkedIn; leverage GitHub, arXiv, OSS repos, Kaggle, Twitter, Discord, Substack, niche forums, and micro-communities
• Craft and execute compelling outreach campaigns using artifact-first hooks and Proximity’s track record
• Drive urgency by compressing interview loops, managing notice-period negotiations and buyouts, and delivering offers quickly
• Ensure evidence-backed sourcing with GitHub repos, demos, papers, and talks while maintaining a world-class candidate experience
• Collaborate with global CTO offices on frontier AI problem statements and hiring strategy

Senior Technical Recruiter, Frontier AI

• Own end-to-end closure of senior AI, ML, multimodal, backend, and engineering hires globally.
• Identify, engage, and close exceptional global talent for frontier AI roles.
• Build adjacency maps of companies, labs, and communities working on relevant frontier problems.
• Generate technical screening prompts, knockout questions, and rubrics independently.
• Source beyond LinkedIn using GitHub, arXiv, OSS repos, Kaggle, Twitter, Discord, Substack, niche forums, and micro-communities.
• Craft and execute compelling outreach campaigns using artifact-first hooks and Proximity’s track record.
• Drive urgency by compressing interview loops, managing notice-period negotiations and buyouts, and delivering offers quickly.
• Ensure evidence-backed sourcing with GitHub repos, demos, papers, and talks while maintaining a world-class candidate experience.
• Meet hiring KPIs and SLAs: deliver 6–8 frontier hires per quarter, 80% evidence-backed candidates, rapid feedback and time-to-offer targets.

Frontend Engineer

• Own and deliver end-to-end features ensuring performance, accessibility, and cross-browser compatibility.
• Build reusable components & libraries, shaping our evolving design system.
• Translate UI/UX designs into high-quality, efficient, maintainable code.
• Collaborate with product managers, designers, and backend engineers to create seamless user-facing features.
• Write clean, testable, and documented code, contributing to best practices and code reviews.
• Stay curious and constantly push the boundaries by exploring new technologies and frameworks.
• Develop new user-facing features using ReactJS, ensuring a smooth and responsive user experience.
• Optimize components for maximum performance across a wide array of web-capable devices and browsers.
• Collaborate with UI/UX designers and backend developers to improve usability and design.
• Stay up-to-date with the latest industry trends and technologies, ensuring the application adheres to best practices.
• Write clear, maintainable, and testable code.
• Mentor junior engineers, conduct knowledge-sharing sessions, and contribute to the hiring process.
• Work with product managers and stakeholders to define project requirements and break down complex problems into manageable tasks.
• Ensure timely delivery of project milestones, maintaining high-quality standards.
• Maintain a focus on performance, scalability, and SEO optimization.

Senior Frontend Engineer, React.js/Next.js

• Develop server-side logic, maintain central database, and ensure high performance and responsiveness to front-end requests.
• Write clean, high-quality, high-performance, and maintainable code.
• Own the entire lifecycle of stories: development, test, production, fixes, and improvements.
• Solve complex technical problems and perform objective analysis before writing code.
• Develop highly scalable and performant backends based on event-driven architecture.
• Build robust, secure, and scalable microservices.
• Split features into tasks and evolve backend architecture.
• Coordinate cross-functionally with QAs and PMs to meet business objectives and compliance standards.
• Participate in, design, and drive the code review process.
• Implement RESTful services with a metric-driven API Gateway.
• Ensure sub-second server response and implement appropriate relational, document, key, object, graph, index, and messaging data stores as needed.
• Track defects, triage bugs with business owners and users, and manage backlog.
• Take ownership to run and maintain Cloud infrastructure.
• Evaluate relevant technologies and drive architecture and design discussions.
• Own and deliver end-to-end backend features ensuring performance, reliability, and scalability.
• Collaborate with product stakeholders to deliver impactful solutions aligned with business objectives.
• Build reusable services and contribute to core engineering libraries.
• Document and demonstrate solutions through documentation, DFDs, and code comments.
• Work closely with Product to drive KPIs and align engineering goals with business outcomes.
• Stay agile and adapt quickly to evolving requirements, scope, and priorities.

Senior Data Scientist – LLMs, RAG, Multimodal AI

Backend Engineer – AI-Powered Search and Applications

Senior Technical Recruiter, Frontier AI

Senior Technical Recruiter, Frontier AI

Senior Frontend Engineer, React.js/Next.js

Senior Backend Engineer, Go/Python