AI Development Engineer

Proximity Works

AI Development Engineer improving speed, quality, and cost efficiency using AI in production systems. Building reliable, scalable AI applications while collaborating with cross-functional teams.

Posted 6/19/2026contractRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Microservices

About the role

Key responsibilities & impact

Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans.
Build, maintain, and scale AI-powered production systems and agentic applications.
Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably.
Use AI-assisted development tools while maintaining code quality, security, performance, and long-term maintainability.
Prevent AI-generated code bloat, dead code, and unnecessary complexity.
Build observability, evaluation, testing, and monitoring systems for AI-generated outputs.
Optimize prompts, model selection, workflows, and inference cost.
Apply Responsible AI principles including safety, privacy, fairness, transparency, and accountability.
Work with cross-functional teams across product, engineering, security, data, and design.
Mentor engineers to move from implementation-heavy development to system orchestration and AI-first engineering practices.

Requirements

What you’ll need

Strong software engineering fundamentals and hands-on experience building production-grade systems.
Experience in one or more modalities such as: Vision/images, Video, Text, Audio, Speech
Deeper knowledge and hands-on experience with LLMs, VLMs, multimodal AI systems, and foundation model architectures.
Ability to actively find, read, understand, and implement ideas from AI research papers.
Experience building or integrating agentic applications, AI copilots, RAG systems, workflow automation, or multimodal GenAI systems.
Strong understanding of system design, APIs, data flows, testing, observability, security, and production reliability.
Practical experience with prompt engineering, context engineering, model evaluation, benchmarking, and AI workflow orchestration.
Ability to convert ambiguous requirements into structured specs, implementation plans, and validation frameworks.
Strong debugging, problem-solving, communication, ownership, and learning agility.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringproduction-grade systemsLLMsVLMsmultimodal AI systemsfoundation model architecturesprompt engineeringcontext engineeringmodel evaluationAI workflow orchestration

Soft Skills

problem-solvingcommunicationownershiplearning agilitymentoringcross-functional collaboration