AI Development Engineer - Contractual role
Proximity Works · TELECOMMUTE · Posted Jul 7, 2026
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An AI Development Engineer is responsible for solving complex engineering problems by using AI to improve speed, quality, and cost efficiency. This role reimagines traditional software engineering for an AI-augmented world — moving from coding-heavy execution to system orchestration, structured thinking, validation, and agentic application development.
The ideal candidate is a strong hands-on engineer who can work with AI tools, foundation models, multimodal systems, and research-driven implementation to build reliable, scalable, production-ready AI applications.
Key Responsibilities
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.