We are seeking an experienced AI & Cloud Engineer to join an advanced R&D team on a contract basis. This role will play a key part in building and scaling AI-driven platforms and services, with a strong focus on cloud-native development, public APIs, and industrial-scale AI deployment.
Key Responsibilities
Design and build scalable, fault-tolerant cloud-native services on Microsoft Azure.
Develop secure, well-documented public APIs and SDKs for both internal and external developer use.
Collaborate across teams to deliver end-to-end solutions spanning data pipelines, orchestration, and service APIs.
Implement robust security controls to safeguard sensitive data and ensure secure access to AI services.
Participate in design and code reviews, contributing to high engineering standards.
Mentor junior developers and foster a culture of continuous learning and innovation.
Support AI solutions across model deployment, training, and tooling development.AI & Cloud Expertise
Hands-on experience working with Large Language Models (LLMs) and balancing performance, cost, and capability.
Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
Familiarity with AI interoperability standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
Strong knowledge of ML algorithms (regression, classification, clustering, deep learning).
Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) and commitment to responsible AI practices.
Proficient with AI coding tools such as GitHub Copilot and able to apply prompt engineering in development workflows.
Experience with orchestration frameworks like AI Foundry or Semantic Kernel.
Knowledge of automated testing and evaluation of AI outputs is a plus.
Proficiency in Python and AI frameworks such as PyTorch and TensorFlow.Core Skills & Qualifications
8+ years in software engineering, with 3+ years focused on AI/ML systems or platforms.
Deep expertise in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS, API Management).
Strong background in RESTful API design, versioning, testing, and lifecycle management.
Proven ability to secure APIs and manage authentication/authorization practices.
Strong problem-solving and solution design skills for complex technical challenges.
Experience working in Agile, globally distributed R&D teams.
Demonstrated leadership in mentoring and technical knowledge-sharing.Why This Role? This is a chance to work on cutting-edge AI and cloud technologies within a global-scale R&D environment. You’ll be contributing to projects that push the boundaries of AI deployment, industrial intelligence, and sustainable digital transformation.
If you are a senior engineer looking for an impactful contract role where AI meets large-scale cloud engineering, we’d like to hear from you
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