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Role: Prompt Engineer / AI Specialist / Tech Analyst – LLM & AI Platforms Location: Alpharetta, GA (Hybrid) Contract Role Face to Face is a must Experience 8–10 years of relevant experience across AI, data science, and…
about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and…
Senior AI Engineer leading agentic AI architecture from sandbox to production for a global technology consultancy, hybrid in London on a 12-month fixed-term contract.
The AI Engineer identifies real-world AI use cases for internal processes, translates business needs into technical solutions, and builds scalable AI tools (e.g., knowledge access, document processing, workflow automation) while ensuring security, compliance, and usability. Focuses on LLMs, embeddings, and system integration for a climate-tech company’s smart energy infrastructure.
Build and deploy secure AI/ML microservices for defense/intel missions, integrating open-source and proprietary models, RAG pipelines, and vector search in multi-cloud environments.
Junior AI Software Engineer building, testing, and deploying ML pipelines in secure defense/intelligence environments using Python, Docker, and cloud platforms (AWS/Azure).
The AI Engineer will build and deploy LLM-powered agents and identity-specific security features for the Linx platform. This role involves end-to-end development of AI systems, focusing on scalability, reliability, and integration with backend infrastructure.
Leads AI/ML system architecture and enterprise-scale AI engineering for defense/intelligence, focusing on novel AI frameworks, LLMs, and high-assurance deployment in multi-cloud/air-gapped environments.
Leads AI platform architecture, optimizes LLM workflows for defense/intelligence use, and manages multi-cloud infrastructure with security-focused DevOps.
Senior AI Engineer builds secure RAG/LLM systems and NLP pipelines for defense intel, integrating legacy data and ensuring DoD compliance.
The QA AI Automation Engineer is responsible for testing and automating quality assurance processes for AI-driven health technology products.
The AI Engineer will create reinforcement learning environments to test AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. This is a flexible, remote, output-based contract role requiring strong programming skills in languages like Python, C++, or Rust.
Role Mission As an AI Engineer at Hippocratic AI, you'll design and build the intelligent systems that power clinically safe healthcare agents at scale. You'll work at the intersection of large language models,…
NHG Health is hiring a Senior Data AI Engineer to develop and deploy AI-powered healthcare solutions using cloud-native architectures. The role involves end-to-end project delivery, collaboration with clinical teams, and mentoring junior staff.
AI Engineer At a Glance AI Engineer, working across applied AI and platform engineering Belfast, hybrid (3 days in office) Circa £80,000 to £120,000, dependent on experience 4 years software engineering, 2 years…
Design, build, and deploy user-facing LLM-powered applications, agentic workflows, and autonomous AI systems end-to-end, from concept to production and optimization.
Description The Senior Manager – Delivery – Applied AI serves as the single point of accountability for the execution, delivery, and operational success of enterprise AI solutions within the NMDP technology portfolio.…
Build and deploy AI agents that automate cybersecurity workflows across identity, cloud, and compliance at a major airline, using Python, agentic frameworks, and enterprise security tools.
Principal engineer leading architecture and AI-powered features for Microsoft’s global commerce, payments, and financial platforms, ensuring scalable, secure, and compliant systems.
Puncak AI is seeking an AI Software Engineer to design, develop, and deploy scalable AI and machine learning models for edtech applications. The role involves working with Python, deep learning frameworks, and cloud platforms to build recommendation systems and interactive learning tools.
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