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Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Design and lead enterprise generative AI systems using agentic architectures, RAG pipelines, and cloud-native tooling to deliver scalable, secure AI solutions for PwC clients.
Key Responsibilities 1. Rapid Prototyping & Application Development Build AI applications, copilots, and agentic workflows end-to-end – UI, APIs, business logic, and model integration. Use rapid development tools…
Build and deploy full-stack AI applications using OpenAI's ecosystem, from conversational apps to agentic systems, end-to-end in TypeScript/React and Python/Node, with RAG pipelines and enterprise integrations.
📌 About the Role LLMs are confidently wrong. In international law and arbitration, a wrong date, party name or tribunal in front of a lawyer is not an acceptable error. Jus Mundi is building the AI layer for…
Ruya AI is a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations operating in mission-critical, high-stakes environments.…
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Lead engineering for a bank’s AI-powered risk platform, building secure .NET/Python microservices on AWS, scaling from MVP to enterprise-grade while embedding agentic AI into risk workflows.
Job Description What is the opportunity? Join RBC as a hands-on technical lead building production-grade GenAI and Agentic AI applications for Cyber, Risk, Regulatory, Control & Security domains. This is an…
Builds and deploys LLM-powered agentic workflows for network troubleshooting using LangGraph, MCP servers, and Kubernetes, focusing on reasoning pipelines, tool integration, and production-scale AI systems.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Embedded AI Engineer who designs, builds, and deploys production AI systems for B2B clients in private equity, lending, real estate, and SaaS, bridging business needs with technical execution using LLMs, RAG, and agent frameworks.
Lead the North America Commercial AI strategy, building and deploying LLM/agentic AI solutions for patient finding, HCP engagement, and commercial workflows in a biopharma company.
Own the AI Platform that routes, evaluates, and governs all model and agent workloads at Angi, improving product quality and enabling internal teams with cost controls and trust frameworks.
Build and improve AI agents that automate accounting production for small businesses, using TypeScript, NestJS, and LLM APIs in a monorepo.
Build and ship AI-powered healthcare infrastructure that integrates with EHR systems, using tools like OpenAI and Vertex AI to improve patient care and provider workflows.
acemate is building an AI learning & teaching platform for higher and further education institutions. We have strong traction, secured funding and are entering an exciting growth phase. We're looking for a…
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