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Project description We are looking for an AI Prompt Engineer / AI Integration Engineer with hands-on experience using modern LLM tools such as ChatGPT, Claude, and similar platforms. The role will focus on applying AI…
We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our…
The application window is expected to close on: 10/12/2026 Meet the Team The Cisco AI Software & Platform Group incubates and delivers mission-critical Generative AI and platform infrastructure across Cisco's…
QuickBooks, Intuit’s flagship accounting software, supports millions of small business owners and accountants worldwide through various offerings, including QuickBooks Online, Desktop, and mobile editions. The Business…
What You Must Have Actually Done Not just what you know. What you have shipped. • Deployed 2–3 agent-based systems in production - stateful, multi-step, real users • Used LangGraph for multi-agent orchestration with…
We are seeking a Lead JavaScript Full-Stack Engineer to join our global AI Engineering team and build the future of secure, enterprise-grade AI Agents. In this role, you will lead the architecture and design of…
Hands-on Lead DevOps Engineer who designs, operates, and scales a multi-tenant AWS platform (Terraform, ECS/Fargate, Aurora PostgreSQL, Kafka, Buildkite, Vault, Cloudflare), owns production incident response and observability, leads a team of 1-2 engineers, and helps introduce AI/LLM capabilities. Reports to the CTO; based in Florida.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
Capco is hiring a Lead AI Engineer (Senior/Principal Consultant) in London (hybrid) to architect and deploy generative AI and agentic systems for financial services clients. Day to day involves building multi-modal LLM solutions, RAG/prompt-engineered agent workflows, Python backends/APIs, and scalable MLOps pipelines while guiding teams and clients.
Capco is hiring a Mid Level AI Engineer in Orlando, FL (hybrid) to design, build, and deploy production-grade generative AI applications using LLMs, RAG pipelines, and agentic architectures. Day-to-day work centers on Python backend services, REST APIs, vector databases, and cloud platforms like AWS/Azure/GCP.
Remote, South Africa | Posted on 06/03/2026 Full Stack Engineer Python / FastAPI Next.js TDD Remote friendly About Us We automate end to end candidate compliance for education recruitment agencies using deterministic,…
Builds and maintains LangChain's business data infrastructure — writing dbt models and LookML, connecting sources like Salesforce, Stripe, and Clickhouse into BigQuery, and creating dashboards that surface insights on customer health, adoption, and revenue.
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Joins LangChain's founding IT team in San Francisco to run the day-to-day SaaS stack (Google Workspace, Slack, Okta, MDM), manage identity and access, support employees, and build automation using APIs, Terraform, and coding agents like Claude Code.
Alinia’s Mission At Alinia, we enable the safe deployment of AI business-critical operations in industries that rely on policy and value alignment and trust. We m ake safe LLM deployment more accessible and effective…
At Etraveli Group in Uppsala, you'll be the core technical muscle of the AI Optimization team: rapidly building and evaluating agentic AI MVPs with Python, LLM frameworks, and APIs, running evaluation pipelines for accuracy, latency, and ROI, then translating validated prototypes into specs for the core platform team to scale.
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