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Senior AI Engineer designing and deploying production-grade AI agents and GenAI workflows on Azure for enterprise customers in a consulting context, taking solutions from prototype to production with full ownership of architecture and engineering quality.
Design and build software solutions in Ottawa using Python, SQL, ETL data pipelines, AI model development/training, and Terraform-based CI/CD, while producing formal design documentation.
The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.
This role involves integrating LLMs into production environments, managing CI/CD pipelines, and configuring infrastructure for AI workloads on AWS. The engineer will focus on automating delivery, establishing observability, and implementing security and governance for AI solutions.
Job Title: Senior Business Analyst - Applied AI and Innovation Location: Remote - UK based Salary: £65,000-£80,000 DOE Job Type: Permanent - Full Time Do you want to own the business foundations that turn AI ambition…
Designs and deploys AI-driven solutions (LLMs/agents) at scale, owning CI/CD pipelines, IaC, and production observability for enterprise clients while mentoring engineers and ensuring security/governance compliance.
Senior AI Engineer embeds in Rakuten business units to design, build, and ship production LLM agents that replace third-party APIs using in-house models and tools.
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
Builds and integrates GenAI solutions using C#/.NET, Azure, and OpenAI APIs to develop scalable backend/web apps with SQL Server, while collaborating with product owners and analysts from concept to production deployment.
Builds and scales Freeflo’s AI-powered WhatsApp booking/payment agent by writing Python backend code, designing serverless AWS infrastructure, and integrating LLMs into production workflows.
Builds and deploys AI solutions end-to-end by embedding with business teams to identify high-value problems, prototype fast, and measure business impact using tools like Claude/OpenAI.
We are seeking a Senior AI Engineer to lead the design and delivery of complex AI solutions across our enterprise data platform. You will define technical standards, mentor junior engineers, and act as a key bridge…
Designs and builds cloud-native and agentic AI solutions on AWS, integrating LLMs, RAG, and automation to enhance enterprise applications and user experiences.
Leads AI-driven software development for healthcare tech, integrating NLP, computer vision, and generative models into scalable systems while mentoring engineers and driving AI-first strategies.
Build, deploy, and continuously improve production AI features (search, personalization, content generation, copilots) on Microsoft Foundry/Azure AI, grounded in Microsoft Fabric/One Lake data, while establishing MLOps practices and mentoring junior engineers.
Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: MBI (T2) Job Family: Software Engineering Job Qualifications: Skills:…
Leads AI system architecture and engineering for an AI-native startup, designing scalable production-grade AI solutions and mentoring teams to deliver measurable business impact.
Builds AI-driven automation workflows using GenAI/Agentic tech to streamline fintech processes like onboarding, transactions, and reporting; integrates LLMs and RAG for context-aware decision support.
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