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Senior AI Engineer - Agentic & Generative AI
Builds and deploys production-grade agentic and generative AI systems using Python, LangChain/LangGraph, and Azure AI services.
Senior Data Scientist
Build and deploy AI/ML models and generative AI systems (LLMs, RAG, knowledge graphs) for enterprise clients using Python, TensorFlow, PyTorch, and cloud AI services.
AI Architect – GenAI & ML
Design and deploy production-grade GenAI and ML solutions on Azure, including RAG pipelines, LLM apps, and evaluation frameworks while leading AI initiatives end-to-end.
Mid & Senior AI Engineer (Agentic AI & LLM Systems)
Build and deploy LLM-driven AI agents and chatbots using Python and Docker, from architecture to production monitoring.
Senior AI/ML Engineer
Build and deploy AI agents that automate silicon IP design using RAG, agentic workflows, and EDA tool integration to accelerate spec-to-netlist pipelines.
GenAI-разработчик / бизнес-аналитик
Senior GenAI developer designs and implements corporate AI solutions like agents, RAG pipelines, and automations for a large mining-industry company using n8n, PostgreSQL, and Python.
AI/ML-Tech Lead
Lead the design and deployment of Generative AI applications, fine-tuning LLMs, and building modular AI workflows using frameworks like LangChain and AutoGen.
AI Solutions Engineers - Pre-Sales
Roles & Responsibilities AI Solutions Engineer About the Role We are seeking a dynamic AI Solutions Engineer to join my client's Enterprise Sales team. In this role, you will be the technical authority guiding…
AI Agent Engineer
Build production-grade AI agent systems that power marketing content workflows, focusing on agent loops, retrieval, evaluation, and cost/latency optimization using TypeScript and Python.
AI SDLC Lead Engineer (Cloud Architect) (m/f/d)
Lead AI-assisted SDLC patterns for cloud software stacks, guiding OpenStack-derived services and AI coding agents to accelerate code analysis, refactoring, and documentation while ensuring auditability and security.
AI & Automation Data Scientist Intern (Jan 2026 - 4 month - Toronto or Calgary)
Build and deploy machine learning models on IBM Cloud or Azure, using Python, GenAI frameworks, and cloud tools to solve enterprise-scale problems for clients.
AI Product Expert & Solutions Architect
Designs and deploys enterprise-grade AI solutions, from RAG architectures to agentic workflows, while advising clients and troubleshooting production issues.
데이터 엔지니어(Data Engineer)
Builds and maintains AI-ready data pipelines and platforms for an edtech company, enabling AI services like personalized recommendations and AI tutors.
Senior Associate, Generative AI and Agentic AI Engineer
Build and deploy autonomous AI agents using LangChain/Crew.ai and optimize RAG systems to deliver enterprise automation solutions for clients.
Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
Senior Forward Deployed AI Engineer
Embed within client teams to design and deploy agentic AI workflows and autonomous digital workers, bridging enterprise systems with frontier LLMs and orchestration frameworks.
Generative AI - Senior Manager
Lead enterprise Generative AI initiatives, designing scalable agentic systems, RAG architectures, and AI governance frameworks to deliver production-ready solutions for global clients.
Python and AI Data Engineering Lead - Senior Vice President
Lead AI and data engineering at Citi: build scalable ETL pipelines, optimize SQL/PL-SQL, and engineer agentic AI systems with Python, FastAPI, and frameworks like LangChain.
Senior AI Engineer - Agentic & Generative AI
Senior AI Engineer builds production-grade Agentic AI, Generative AI and RAG systems using Python and Azure, deploying multi-agent workflows and LLM-powered applications for a global SaaS product.
AI Architect
Design and build scalable AI platforms for healthcare applications, focusing on LLM-based systems, RAG, and multi-agent orchestration while ensuring compliance with HIPAA and clinical workflows.