AI Development Engineer at prox-works

Setup: Remote - India, Hybrid
Type: Contract
Posted: Jul 7, 2026

Description

The AI Development Engineer will focus on improving speed, quality, and cost efficiency by utilizing AI to solve complex engineering problems. This role involves translating product requirements into technical specifications, designing and scaling AI-powered production systems, optimizing workflows involving large language models (LLMs) and visual language models (VLMs), and ensuring robustness and scalability. The engineer will also apply Responsible AI principles and mentor others in adopting AI-first engineering practices.

Required Skills

Software Engineering Fundamentals
Production-Grade Systems
Large Language Models (LLMs)
Visual Language Models (VLMs)
Multimodal AI Systems
Foundation Model Architectures
Agentic Applications
Retrieval-Augmented Generation (RAG) Systems
Workflow Automation
Prompt Engineering
Context Engineering
Model Evaluation
Benchmarking
AI Workflow Orchestration

Additional Information

Preferred Qualifications: 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.