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Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
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.
Builds AI-driven workflows for insurance claims, focusing on agentic systems, durable execution, and measurable model improvements in a regulated environment. Core work includes designing agentic workflows, ensuring system reliability, and optimizing LLM behavior with rigorous testing and observability.
Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology company is hiring an…
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.
Hands-on AI/ML analyst building and testing data science, machine learning, and GenAI solution components for a large U.S. bank's India GCC, using Python, SQL, and LLM/RAG techniques.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
Think start-up energy, backed by enterprise scale. We are building modern platforms within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of…
The AI Engineer Manager leads product management initiatives from concept to end-of-life, overseeing the development and commercialization of software solutions. This role involves strategic planning, team leadership, and utilizing Agile methodologies to drive innovation and meet client needs.
The Lead AI Engineer will architect and build autonomous, production-grade agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to enable intelligent, self-healing decision-making systems.
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.
The Lead AI Engineer will architect and build production-grade autonomous agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to support intelligent, self-healing applications.
This role involves building AI agents and tools to simplify and accelerate customer adoption of Amazon's Neuron software stack for Trainium machine learning silicon. You will work on agentic evaluation frameworks and software solutions to optimize machine learning workloads on AWS infrastructure.
The Principal AI Engineer leads an embedded innovation squad to design, build, and deploy agentic AI solutions into production. The role focuses on architecting LLM-based systems, establishing reusable AI patterns, and mentoring engineers while working across the enterprise to scale AI capabilities.
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.
12-month contract role building AI platforms and agentic AI applications for a pharmaceutical company, using Python, FastAPI, cloud platforms (GCP/Azure), Kubernetes, and ML frameworks like PyTorch/TensorFlow.
Design and build agentic AI solutions—LLM-powered agents, RAG pipelines, and workflow automation—integrated with CRM/PMS systems for a property portfolio platform, using Python/C#/TypeScript, vector databases, and frameworks like LangChain or Semantic Kernel.
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