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Senior AI Engineer - LLM Agents Patsnap's Materials team builds AI systems that help R&D scientists and engineers search, extract, and reason over materials science and patent data. You will own the agentic…
Build and optimize open-source LLM inference engines for CXL-based memory offloading, integrating cryptographic acceleration and contributing upstream to AI infrastructure projects.
Builds backend services for a scalable multimodal LLM platform, focusing on text and multimodal generation APIs within a cloud-native stack.
Build and deploy AI models on AWS, from prototyping to production, while collaborating with engineers and domain experts to solve complex problems.
Develops an agentic AI framework (JARVIS) for pharma use cases, designing Python-based LLM workflows, Streamlit interfaces, and Kubernetes deployments to validate technical feasibility for a future pilot.
Builds scalable data products and GenAI/streaming applications on AWS, collaborating with AI engineers and data scientists to move solutions from idea to production.
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Builds enterprise AI apps using LLMs, RAG, and Agentic AI frameworks in Python, deploys them on cloud platforms, and integrates them with enterprise systems.
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Build and deploy AI models to improve diagnostics and hospital workflows using Python, TensorFlow, and PyTorch.
Builds and owns AI-driven agent systems for workflow automation, integrating LLMs, RAG, and agentic pipelines to optimize enterprise processes—from prototyping to production deployment.
Engineer modern workplace systems and integrate AI tools to improve productivity and collaboration for a global paint and home-improvement company.
Design and deploy AI-driven automation workflows using low-code tools like n8n, Zapier, and Python scripting, hosted on AWS/Azure for enterprise clients.
£130,000.00 GBP 10% Bonus Onsite WORKING Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent AI Engineer - Software Development Team Lead Salary: Up to £130,000.00 + Excellent Benefits Location:…
£100,000.00 GBP 10% Bonus Onsite WORKING Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent AI Engineer Salary: Up to £100,000.00 + Excellent Benefits Location: Newcastle (Onsite) We're…
Lead a team building production-grade generative AI and LLM solutions for healthcare, focusing on multi-agent workflows, RAG, and cloud-native deployment.
AI Algorithm Engineer – LLM/VLM (Mandarin Required) Experience: 3–5+ Years Education: Master’s Degree or Above Employment Type: Full-Time About the Opportunity Our client is a global leader in consumer internet…
Build and deploy AI systems like RAG pipelines and agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
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