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Build and extend a cloud-based SaaS insurance platform using .NET/C# backend and React.js frontend, integrating APIs and modernizing legacy systems with occasional AI automation.
Senior Technical Writer creates and maintains highly technical documentation (config, deployment, query references) for Starburst’s distributed data platform, collaborating with engineers and product teams to ensure accuracy, scalability, and AI-consumption readiness.
Build and maintain a self-service cloud platform in C#/.NET that lets customers manage Microsoft 365 and Azure services, using AI agents to speed up development while ensuring code quality.
This role exists to own and stabilize the entire web and tech layer by managing websites, integrations, performance, and technical SEO end-to-end, so the team can move faster, launch confidently, and scale growth…
Company Overview AI is redefining how marketers measure and optimize growth, and Singular is built to turn that complexity into clear, actionable insight. Trusted by leading global brands including Microsoft, Uber,…
Senior developer who splits time between coding .NET web apps and backend services and coordinating a small team, with a strong focus on AI-assisted workflows and quality gates.
Builds and deploys AI agentic systems (e.g., Antigravity portfolio) to bridge Google’s AI infrastructure with product teams, designing scalable workflows, connectors, and guardrails for production-grade agentic solutions.
Build AI-powered security automation tools to eliminate manual workflows like alert triage and vulnerability tracking, using Python/TypeScript and AI coding assistants.
At a glance Location: Cambridge In-office expectation: Once every two weeks Employment type: Permanent Salary: £55,000-£80,000 This role will be a mid or senior level engineer dependant on experience Why this role…
Contractor evaluates AI-generated developer outputs by simulating real-world workflows (version control, CI/CD, code review) and maintaining test environments to improve AI training data quality.
Strengthen and scale security across AWS and Kubernetes environments by improving IAM, RBAC, encryption, secrets management, network controls, edge security, vulnerability management, CI/CD security, application…
Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility…
Define and own the multi-year strategy and roadmap for Digital Engineering Knowledge Platform. Drive the integration of standards intelligence into engineering ecosystems, including CAD/CAE, PLM, MBSE, digital twins,…
Designs, builds, and deploys production-ready Generative AI solutions using LLMs and RAG systems to enhance business outcomes.
AI Engineer will own the analysis engine, evaluation framework, retrieval systems, and agentic architecture for RIVA, a product that analyzes businesses using language models. Core technologies include Python, FastAPI, PostgreSQL, LLM SDKs, LangChain, DSPy, and vector databases like pgvector or Qdrant.
Develops and deploys advanced AI agents at the intersection of research and engineering, focusing on Agentic RAG, context management, and multi-agent systems for real-world task execution.
Lead AI/ML projects for clients, designing and deploying agentic systems, ML models, and cloud-native solutions while advising on technical architecture and delivery at scale.
Leads AI and technology consulting engagements for enterprise clients, designing and delivering scalable AI/ML solutions while managing teams and client relationships in sectors like energy, financial services, and government.
Designs, codes, and deploys scalable GenAI services, chatbots, and autonomous agents using modern frameworks; maintains LLM infra on-premise (Docker/Kubernetes), optimizes RAG pipelines, and ensures security. Core tech: Python, LLMs, RAG, vector databases, Docker/Kubernetes.
AI Engineer at WebPros operationalizes and optimizes Large Language Model (LLM) solutions that power products, working on prompt engineering, agentic workflows, safety guardrails, and observability. Core technologies include LLMs, AI coding agents (like Claude Code), and various AI frameworks.
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