AI Development Engineer

🔥 7 minutes ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 17%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• Jobs at this company usually fill in 55 days.
• No salary listed.

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Proximity Works

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

📋 Description

• Develop a deep understanding of technical requirements and system-level design to minimise rework and reduce AI-generated errors. • Translate ambiguous product and business ideas into clear, structured technical specifications. • Create specifications serving as a 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 is 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 leveraging Generative AI. • Design and monitor agentic workflows where AI components interact with traditional microservices. • Explore ways to move manual workflows to intelligent, agent-driven applications. • Validate automated outputs for security, performance, reliability, and intended functionality. • Build observability into services and systems to identify and address production issues. • Explore self-healing production workflows using AI to 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 business ROI. • Reduce technical debt and redundant implementations before they affect system performance or cloud costs. • Collaborate with Product, Production Engineering, Security, and other stakeholders. • Encourage experimentation with AI workflows and continuous improvement. • Mentor junior engineers and help drive the shift toward AI-assisted engineering and system orchestration.

🎯 Requirements

• Strong foundations in Machine Learning and AI, including linear algebra, probability and statistics, supervised and unsupervised learning algorithms, and standard MLP/DNN architectures. • Understanding of bias-variance trade-offs, model fitting and selection, hyperparameter tuning, and model performance evaluation. • 5+ years of hands-on experience and working knowledge of Generative AI foundation models and LLM building blocks. • Knowledge of transformers for vision and text. • Knowledge of tokenisation and attention mechanisms. • Knowledge of prompting techniques. • Knowledge of Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) concepts. • Knowledge of Retrieval-Augmented Generation (RAG). • Hands-on experience with PyTorch, TensorFlow, and Hugging Face. • Experience building or working on AI applications across one or more domains, including text, vision, speech, audio, and video. • Ability to understand complex engineering requirements and translate them into structured specifications, implementation plans, and validation workflows. • Strong problem-solving skills and an interest in exploring how AI can improve engineering workflows and application development.

🏖️ Benefits

• Best-in-class salary: We hire strong talent and compensate accordingly. • Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners. • Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development. • High-impact work: Build AI-first systems and products used at scale by global clients.

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