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Principal AI Engineer at Mitratech designs and builds AI-driven systems in Python, sets technical direction for multiple teams, and leads GenAI/LLM application development on AWS.
A cybersecurity specialist on Anthropic's Applied AI team who advises large enterprise customers on using Claude for security workloads — from appsec in the SDLC and automated penetration testing to alert triage and threat intelligence — guiding them from pilots to production. Combines deep security expertise with customer-facing skills; expects Python, CI/CD, cloud, and hands-on LLM experience.
AI Engineer at Noma Security builds the internal AI function from scratch: LLM-powered agents, automation pipelines, MCP servers, and backend integrations (Salesforce, Slack) used company-wide, with end-to-end ownership from design through production monitoring. Core stack is Python, LLM APIs (Anthropic/OpenAI), MCP, REST/webhooks, and automation tools like n8n.
Remote Senior Lead AI Engineer (hired via OutForce, a Philippines-based outsourcing firm, working US hours) serving a US engineering/consulting client. Leads end-to-end delivery of enterprise AI/ML — mentoring engineers, owning LLM/RAG architecture, and staying hands-on with Python, PyTorch/TensorFlow, cloud platforms, and MLOps.
A senior full-stack engineer (10+ years) designs, builds, and rolls out cloud (AWS, Lambda), GenAI/LLM, and DevOps solutions for customer contact center technology across Canada, Asia, and the US. Core stack: Python, Java, AWS services, and DevOps tooling (Bitbucket, Ansible, Jenkins), working hybrid from Toronto.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
Seekr is hiring an AI Engineer to develop and deploy generative and predictive AI solutions for US Government customers. The role involves building agentic workflows, fine-tuning LLMs, and creating prototype applications using Python and various AI frameworks.
Senior AI Engineer in EY Ireland's AI Lab in Dublin, building LLM-driven and multi-agent solutions for global clients. Day to day involves developing generative AI/RAG pipelines and agentic systems with Python, Azure OpenAI, LangChain/LangGraph and Hugging Face, deployed on cloud with MLOps tooling.
Hands-on AI architect/team lead in EY's Financial Services Technology Consulting practice in Dublin, building and deploying enterprise GenAI, LLM, RAG, and multi-agent AI solutions for banking, insurance, and wealth/asset management clients. Core stack: Python, Docker/Kubernetes, LLM providers (OpenAI, Anthropic, Gemini), vector DBs, and AWS/Azure/GCP with LLMOps/MLOps.
A client-embedded AI engineer/manager in EY's AI & Data practice who turns ambiguous business problems into enterprise AI solutions — prototyping and deploying LLMs, RAG, agents, and classical ML into production in regulated, large-scale environments — while owning delivery, monitoring, and client enablement. Core stack: Python, Azure/GCP/AWS, vector stores, MLOps/LLMOps.
A client-embedded technical leadership role in EY's AI & Data practice: the Senior Manager translates business problems into enterprise AI use cases and takes solutions from prototype to production using LLMs, RAG, agents and traditional ML, deployed on cloud, hybrid or on-prem client infrastructure, while leading teams and supporting pre-sales.
Build and deploy AI agents and ML models that autonomously optimize cloud infrastructure, reducing costs and improving performance for enterprise clients using modern agentic frameworks and LLM tool-use.
In unserem neuen Bereich Digital Services startest Du auf der grünen Wiese und entwickelst Lösungen, die Bild-, Video-, Sensor- und 3D-Daten automatisiert verarbeiten und daraus nutzbare, räumlich und technisch präzise…
A Staff AI Software Engineer at Aircall designs and delivers AI-driven modules end to end in production — LLM-powered voice agents and assistants — while mentoring teammates and joining an on-call rotation. The stack includes TypeScript/Node.js, Python, Ruby/Rails, and React on AWS, with PostgreSQL, DynamoDB, OpenSearch, Redis, and hands-on LLM/Agentic AI work.
Senior individual contributor at Order.co who defines the company-wide data and applied AI architecture and standards, then personally lands production AI systems (predictive ordering, agentic copilots) on governed procurement data. Roughly half strategy/architecture, half hands-on implementation with LLMs, agents, and cloud data platforms.
Builds and deploys AI-powered services like LLM workflows, RAG pipelines, and agentic systems to improve PlayStation’s digital commerce and player-facing products using Python/Java and AWS.
Orion Innovation is hiring an AI Engineer in Mississauga, ON (hybrid) to design and deploy autonomous agentic AI systems that automate business analysis and project management work — building AI agents that reason, orchestrate workflows, and auto-generate process documentation. Core tech: agentic AI frameworks like LangChain/AutoGen, prompt engineering, LLM orchestration, and RPA/workflow automati
Embed with defense customers as a technical partner, building and deploying backend systems that power generative AI capabilities across cloud, on-prem, and air-gapped environments.
Entry-level role building AI-powered automation and Copilot agents using Microsoft Power Platform, Copilot Studio, and local AI tools like Claude, while ensuring compliance in regulated environments.
Principal AI Research Engineer at Archer in San Jose designs and implements cutting-edge machine learning models for electric aircraft systems, using frameworks like PyTorch and TensorFlow.
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