1 to 25 of 41 Digital & IT Jobs

sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

ways to make the process better each time You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

guide and review AI‐generated code with confidence. Hands‐on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup ...

agent AI systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied AI, including orchestration architectures, context engineering, MCP integration, memory design, fine-tuning and multimodal systems. Building and maintaining a reusable library of agent tools, MCP servers, skills and shared engineering assets … design). Context & Retrieval: Advanced context engineering expertise, including multi-hop retrieval, knowledge graphs (Neptune/Nebula), structured memory injection and dynamic prompt construction. MCP & Tooling: Advanced knowledge of Model Context Protocol (MCP), designing and implementing server architectures for enterprise tooling integration. Model Fine-Tuning: Experience with model fine-tuning ...

Models (LLMs) and the trade-offs between latency, capability, cost, and model sizing. Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2Agent [A2A]). Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities. R&D at AVEVA Our global team ...

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global ...

Large Language Models (LLMs), Retrieval‐Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global ...

Clinical Operations team deliver faster, more consistent customer support. Cross-system integration. Build and maintain integrations across Box, JIRA, HiBob and other platforms, including MCP-based and Claude Code-driven automations to remove manual handoffs between teams. GxP-aware delivery. Ensure every automation touching a validated or GxP-relevant system … Prior experience in a regulated environment (GxP, ISO 27001, medical devices, or clinical trials). Familiarity with computerised system validation (CSV) concepts. Exposure to MCP, agentic automation patterns, or workflow tooling. Understanding of information security fundamentals (access control, data classification, least privilege). What can you expect from ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an "AI for AI's sake" role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. Relocation ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance. Expertise in Agentic AI systems: RAG, prompt engineering, LLM integration, MCP, agentic workflows, model evaluation, fine tuning. Cloud infrastructure expertise in the deployment of AI apps (AWS preferred). Expertise in CI/CD best practice ...

deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance. Expertise in Agentic AI systems: RAG, prompt engineering, LLM integration, MCP, agentic workflows, model evaluation, fine tuning. Cloud infrastructure expertise in the deployment of AI apps (AWS preferred). Expertise in CI/CD best practice ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini ...

Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers — you are the kind of person who'll sit with a scientist to understand ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

this way, we want to talk to you. You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

Azure CI/CD: Jenkins, GitHub Actions, Azure DevOpsIaC: Terraform, CloudFormation, Azure BicepPragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways)What you can expect ðWork to agile best practices and cross-functionally with multiple teams and stakeholders. ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with these tools. You know how to drive an agent ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...