18 of 18 Digital & IT Jobs

Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them on agentic patterns ...

gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them on agentic patterns ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection ...

with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work … agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offs Build prototypes to test in front of internal and external clients, validating ...

integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing ...

Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection ...

AppStore enablement, hybrid public cloud automation, mainframe automation, RHEL lifecycle upgrades, Moneta boot upgrades, and AI-driven automation use cases such as AaaS MCP, VersionUp, IntelliPatch, and AaaS Utilities. Drives decisions that influence the product design, application functionality, and technical operations and processes. Drives team adoption of enterprise-authorized ...

delivery of Quality Engineering strategies. Manage project-level client relationships and communicate progress, risks and recommendations. Drive adoption of GenAI tooling, including Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. Experience you'll need as a Quality Engineering Manager Several years experience ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...

/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) What you can expect 🌱 Work to agile best practices and cross‐functionally with multiple teams and stakeholders. ...

diploma in IT, Computer Science or a related subject. At least 4 years' hands-on IT support experience. IT certifications such as CompTIA, MCP or MCSE are a plus. Comfortable working under pressure and to deadlines. A helpful, flexible attitude and strong communication skills. For more information, or to apply ...

role in taking Data and AI solutions from early experimentation through to production, including agentic applications, multi-agent systems and Model Context Protocol (MCP) services. What you'll do Software engineering Build backend services, platforms and APIs that support trading and middle-office workflows. Develop cloud-native applications using modern … shape the technology roadmap. Data & AI Lead Data and AI solutions from discovery through deployment. Build agentic applications, including multi-agent workflows and MCP services. Develop evaluation and monitoring capabilities to measure accuracy, reliability, safety and performance. Identify opportunities to apply AI and automation to real business challenges. ...

Level2role you will have the following skills: Degree in Computer Science or related discipline. Equivalent work experience will also be considered. Microsoft Certified Professional (MCP) or Microsoft Certified Systems Engineer (MCSE) certification is desirable. Solid understanding of personal computing applications (Office, email, etc.). Excellent working knowledge of networks ...

management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting … scale. Has built or significantly scaled a team. Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering. AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able ...