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Senior AI Engineer defines production agent systems and reference implementations for a proprietary trading firm, setting standards for LLM-powered agents, MCP integration, and security in a regulated environment.
Senior AI Engineer at DV Trading builds and deploys custom AI models for proprietary trading, fine-tuning open-weight LLMs and operating on-prem inference infrastructure to reduce costs and latency.
Build and deploy AI-powered automation tools (agents, LLMs, MCP integrations) to speed up software development workflows like coding, testing, and documentation.
Build and scale an AI-powered phone assistant for healthcare, using Python, NLP, and speech recognition to improve patient-practitioner interactions and streamline workflows.
Build and own an AI agent platform that automates operations using LLMs, backend services, and integrations in a fast-paced product environment.
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.
Build and own the AI reasoning layer and agent orchestration framework for an enterprise GRC platform, shipping production-grade agentic systems that automate governance, risk, and compliance workflows.
Leads the design and architecture of a production GenAI platform for Deliveroo and DoorDash, focusing on open-weight LLM/VLM serving, fine-tuning, and GPU infrastructure to optimize cost, latency, and scalability for business impact.
Senior AI Engineer builds and deploys production software integrating LLMs and AI patterns into a command-and-control platform for defense operators, using TypeScript/Python and mentoring teammates.
Senior AI Engineer builds and deploys ML models (including LLMs) and end-to-end AI solutions for enterprise clients, focusing on MLOps, software engineering, and translating business problems into measurable outcomes.
About the Role We are looking for a Senior Voice AI Engineer to build and scale next-generation conversational Voice AI systems. You will work on real-time, low-latency voice pipelines involving Speech-to-Text (STT),…
Build and ship AI-native agentic products that automate workflows using LLMs, tools, and memory; work closely with product and customer teams to turn frontier models into customer-ready features.
Develops in-house AI-driven products to support a16z New Media’s operations, focusing on scalable solutions for media-related workflows.
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.
Build and architect enterprise-grade AI systems, including LLM-driven agents, RAG pipelines, and multi-agent orchestration, while designing context layers and ensuring security and scalability.
Build and deploy AI systems for construction tech: autonomous agents, multilingual speech pipelines, RAG for document search, and GPU-optimized model serving.
Build and harden agentic AI systems that automate underwriting and claims workflows, integrating with legacy insurance platforms while balancing latency, cost, and reliability.
Build and own AI-powered developer tools (code review, test automation, CI/CD copilots) to modernize Tealium’s engineering stack and accelerate productivity and code quality.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
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