AI Engineer
Phantom · USA
About this role
## About Phantom Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people use Phantom to access global markets that never close—perpetuals, prediction markets, tokenized assets, stablecoins, and memes—powered by real-time data and verified performance of top traders. Phantom is fully remote (~180 people) and backed by a **$150M Series C** from **a16z, Sequoia Capital, and Paradigm**. ## About the role (AI Engineer) Phantom is looking for an **AI Engineer** to help shape how AI is adopted and scaled across the company. You’ll build internal AI tools, integrations, and automation that enable teams to work smarter, move faster, and operate more efficiently. This is a hands-on engineering role focused on turning emerging AI capabilities into **practical, reliable solutions** with measurable business impact. ## Responsibilities - **Build AI Solutions:** Design, develop, and deploy AI-powered tools, agents, and automation to streamline workflows and solve real business problems. - **Develop AI Integrations:** Connect LLMs and AI applications with internal systems, APIs, and enterprise tools. - **Own AI Infrastructure:** Build and maintain the infrastructure and services that support reliable AI applications. - **Enable AI Adoption:** Partner with stakeholders to identify AI opportunities and translate business needs into technical solutions. - **Build for Scale:** Create reusable components, frameworks, and tooling for teams to build and maintain AI workflows. - **Ensure Security & Reliability:** Implement access controls, monitoring, observability, and operational safeguards. - **Optimize AI Usage:** Monitor model performance, usage, and costs; improve efficiency, quality, and outcomes. - **Drive Innovation:** Evaluate new models/frameworks and identify practical opportunities to bring new capabilities in. ## Qualifications - Strong software engineering background with experience building/maintaining **production** applications, services, or internal platforms. - Hands-on experience building applications using LLMs (e.g., **OpenAI, Anthropic Claude, or open-source models**). - Proficiency in **Python, TypeScript, or similar**, including API integration and backend services. - Experience building **AI agents**, workflow automation, or LLM orchestration-based applications. - Familiarity with **RAG**, tool calling, structured outputs, prompt engineering, and modern AI application patterns. - Experience integrating with enterprise tools, internal systems, and third-party APIs. - Understanding of cloud infrastructure, deployment practices, monitoring, and production reliability. - Product mindset: translate ambiguous business problems into practical technical solutions. - Ability to work independently, take ownership, and collaborate with technical and nontechnical stakeholders. - Genuine interest in AI with a bias toward experimentation, execution, and measurable impact. ## Nice to Have - Experience building internal AI platforms or enterprise AI automation solutions. - Familiarity with AI coding tools, agent frameworks, and orchestration platforms. - Experience with **LangChain, LangGraph, Claude Agent SDK**, or similar. - Experience with **MCP**, enterprise connectors, and AI tool integrations. - Familiarity with **LLM observability**, evaluation frameworks, cost optimization, and usage analytics. - Experience implementing security, governance, and access controls for enterprise AI. - Experi
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.