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Proximity Works

Delivers production-grade AI systems at scale

AI Development Engineer

AI Application EngineeringPosted on Nov 13
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • Strong foundations in machine learning and artificial intelligence, including linear algebra, probability and statistics, supervised and unsupervised learning algorithms, and standard multilayer perceptron/deep neural network architectures.
  • Understand bias-variance trade-offs, model fitting and selection, hyperparameter tuning, and model performance evaluation.
  • Have 5+ years of hands-on experience and working knowledge of generative AI foundation models and large language model building blocks, including vision and text transformers, tokenisation and attention mechanisms, prompting techniques, supervised fine-tuning, reinforcement learning from human feedback concepts, and retrieval-augmented generation.
  • Have hands-on experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face.
  • Have experience building or working on AI applications in one or more domains, including text, vision, speech, audio, and video.
  • Be able to understand complex engineering requirements and translate them into structured specifications, implementation plans, and validation workflows.

Responsibilities

  • Develop a deep understanding of technical requirements and system-level design to minimise rework and reduce the risk of AI-generated errors.
  • Translate ambiguous product and business ideas into clear, structured technical specifications.
  • Create specifications that serve as a reliable source of truth for engineering teams and AI systems.
  • Establish practices to minimise functional defects and operational issues caused by AI-generated code.
  • Identify and eliminate code bloat, redundant logic, dead code, and unnecessary complexity.
  • Ensure AI-generated code remains understandable, maintainable, and easy for engineers to navigate.
  • Build documentation and engineering artefacts so AI-generated code does not become a black box.
  • Incorporate security best practices into prompts, context, and code-generation workflows.
  • Build, maintain, and scale production systems that leverage generative AI to transform user experiences.
  • Design and monitor agentic workflows where AI components interact with traditional microservices to solve complex business problems.
  • Explore and implement ways to move from manual workflows to intelligent, agent-driven applications.
  • Rigorously validate outputs as AI accelerates development and production.
  • Ensure automated outputs meet high standards of security, performance, reliability, and intended functionality.
  • Build observability into services and systems to identify and address production issues.
  • Explore self-healing production workflows where AI can interpret logs, identify issues, and suggest real-time fixes.
  • Optimise inference costs through prompt engineering, model selection, tool usage, and workflow design.
  • Balance model performance, token consumption, and overall business return on investment.
  • Identify and reduce technical debt caused by AI-generated code and redundant implementations before they affect system performance or cloud costs.
  • Work closely with Product, Production Engineering, Security, and other stakeholders to align AI capabilities with business goals and responsible AI practices.
  • Encourage engineers to experiment with new AI workflows, learn from failures, and continuously improve.
  • Mentor junior engineers and help drive the shift from traditional coding practices towards AI-assisted engineering and system orchestration.

About the Company

Proximity Works

Delivers production-grade AI systems at scale

Proximity Works builds production AI systems for large sports, media, and entertainment platforms. The company engineers and deploys AI solutions that operate in real-world, high-traffic settings—across 200+ countries—over six years of production experience. Its products are production-grade AI systems designed to run safely and efficiently within demanding consumer-facing platforms. The core work involves taking AI models from development to live operation, integrating them into existing tech stacks, monitoring performance, and ensuring reliability at scale. What sets Proximity Works apart is its focus on long-term, production-ready implementations for large platforms rather than just research or pilots, demonstrated by years of live use and a global reach. The company's goal is to help large media, sports, and entertainment platforms leverage AI at scale to improve experiences, automate workflows, and deliver reliable, scalable AI-driven capabilities to audiences worldwide.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Mumbai, India
Founded
2019

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