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Internal AI Forward Deployed Software Engineer prototyping AI solutions, advising technology teams on AI integration, and deploying AI apps in production using Azure AI platforms, React, and modern AI developer tools.
The Forward Deployed Engineer will embed with customers to map workflows, redesign processes, and deploy AI agents using LLMs and agent frameworks. This role requires hands-on technical work with Python/JS, SQL, and APIs to deliver measurable business outcomes in client environments.
Designs and implements validation frameworks for AI systems like LLMs and RAG, building automated pipelines to ensure accuracy, safety, and reliability in production environments.
About the role The Junior Growth Manager role will report directly to a Growth Manager. This is a role that works closely with our clients, as well as our internal team — giving this individual real ownership over the…
As a Forward Deployed Engineer, you will lead the end-to-end delivery of AI-powered products for enterprise clients, bridging the gap between business needs and technical implementation. The role requires deep full-stack expertise and a commitment to an AI-native development workflow using LLMs and generative AI.
Build AI-powered prototypes and workflows using LLMs (Claude, ChatGPT, Glean) to solve operational and creative challenges within Klaviyo's Global Services, enable teams through AI literacy programs, and scale solutions from prototypes to production-grade systems.
Lead the design and build of AI-powered people systems at Klaviyo, integrating with HR tools like Workday and Greenhouse to automate recruiting, onboarding, and HR workflows.
Develops and owns an AI-powered deployment platform for Google Cloud, ensuring safe, scalable, and efficient rollouts across hybrid and cloud-native environments. Focuses on API-first architecture, reducing outages, and improving developer experience.
Are you a problem-solver with a passion for automation and AI? At Synera, we’re looking for a Forward Deployed Engineer (FDE) who enjoys solving meaningful problems, collaborating with customers, and crafting…
This role involves developing production-ready AI services and APIs using Python, with a focus on LLM integration, RAG pipelines, and agentic workflows. The developer will work with asynchronous frameworks like FastAPI and various database technologies.
Build end-to-end AI tools for internal teams: from data pipelines and LLM logic to backend, UI, and deployment, using modern AI stacks and coding assistants.
Design and ship a real-time voice copilot that transcribes vet-client calls, extracts fields, and fills the scheduling system via a Chrome extension, while meeting strict latency, accuracy, and cost targets.
The AI Lead Architect will design and oversee the implementation of enterprise-grade AI solutions using Microsoft Copilot Studio, RAG, and the Power Platform. This role focuses on defining technical architecture, governance, and security standards for AI agents within a large financial services environment.
The Staff Software Engineer will lead the development of scalable data platforms and AI capabilities using Java, Kotlin, Python, React, PostgreSQL, and Snowflake. This role involves architecting backend services, optimizing data pipelines, and driving engineering excellence within a financial services environment.
Lead full-stack development of a fintech data platform and AI capabilities, designing scalable Java/Kotlin/Python systems, APIs, and ETL pipelines for RBC’s enterprise needs.
Own AI-powered HR product features, from discovery to launch, collaborating with engineers, designers, and stakeholders to deliver intelligent workflows and automation.
Senior Full Stack Engineer building AI-native platforms with Python backend, React/Next.js frontend, RAG pipelines, and LLM integrations for an Italian AI startup.
Lead AI Engineer setting technical direction for AI-powered product development—designing LLM workflows, RAG pipelines, and agentic features—while delivering full-stack code (Python/Node.js, AWS, React) for FCA-regulated financial services.
The Data Science Architect designs and leads the delivery of AI and data solutions for clients using GCP services and various machine learning frameworks. The role involves technical leadership, mentoring junior staff, and bridging the gap between complex data challenges and business outcomes.
📍London│Hybrid Does this sound like you? You're a senior bid professional who thrives on strategy as much as execution. You know that a great bid isn't just a well-written document - it's a narrative built…
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