[All remote jobs](https://jobicy.com/jobs.md)[![Phantom logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/3d0a3a49-221.png)](https://jobicy.com/company/phantom.md)[Phantom](https://jobicy.com/company/phantom.md) # AI Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/phantom.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished31 Oct 2026Apply before30 Nov 2026Listing views43Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Phantom is seeking an AI Engineer to build and scale internal AI tools, LLM integrations, agents, and workflow automation. The role combines production software engineering with practical application of modern LLM patterns such as RAG, tool calling, structured outputs, and orchestration frameworks. The engineer will own technical solutions from discovery through deployment, while partnering with technical and nontechnical teams across the company. Key priorities include reliable infrastructure, security controls, observability, cost optimization, and measurable adoption of AI-powered workflows. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a high-complexity role requiring strong production engineering judgment alongside current expertise in LLM application architecture, integrations, reliability, and security. The engineer must independently turn ambiguous internal business needs into scalable systems used across the organization. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$210,000US market range (per year)$180k–$250k0$275k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay range was disclosed. Estimated annual USD compensation for a US-based AI Engineer building production LLM platforms and internal automation is approximately $180,000–$250,000, with an estimated midpoint of $210,000; this is an AI estimate, not verified compensation research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[OpenAI API](https://jobicy.com/jobs?search_keywords=OpenAI%20API.md)[Anthropic Claude](https://jobicy.com/jobs?search_keywords=Anthropic%20Claude.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md)[Retrieval-augmented generation](https://jobicy.com/jobs?search_keywords=Retrieval-augmented%20generation.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[LangChain](https://jobicy.com/jobs?search_keywords=LangChain.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[LLM observability](https://jobicy.com/jobs?search_keywords=LLM%20observability.md)[Access control](https://jobicy.com/jobs?search_keywords=Access%20control.md) Sample interview questionsDescribe an LLM-powered workflow you took from an ambiguous business problem to production.I would start by defining the user outcome, failure modes, baseline process metrics, and data-access constraints. I would build a narrow prototype, evaluate quality with representative cases, add human review or guardrails where needed, and then productionize it with monitoring, feedback loops, and measured adoption targets. How would you design a secure internal AI agent that can access company systems? I would use least-privilege, scoped service identities, explicit tool allowlists, and strong authentication for every integration. Sensitive actions should require confirmation or approval, while audit logs, input/output redaction, rate limits, and policy enforcement provide operational safeguards. What approach would you use to evaluate and improve a RAG application? I would create a representative evaluation set with expected answers and source citations, then measure retrieval relevance, grounding, answer quality, latency, and cost. I would improve chunking, metadata filtering, retrieval strategy, prompts, and model selection based on observed error categories rather than relying on anecdotal feedback. How do you balance rapid AI experimentation with production reliability? I separate experimentation from production through feature flags, sandboxed integrations, versioned prompts, controlled rollouts, and clear success criteria. Once an approach demonstrates value, I add automated evaluations, observability, fallback paths, documentation, and ownership before scaling it broadly. How would you identify the highest-value AI automation opportunities across teams? I would interview teams to map repetitive workflows, decision bottlenecks, data availability, error rates, and time spent. I would prioritize opportunities with clear measurable value, manageable risk, accessible systems, and a realistic path to adoption, then validate them with small pilots before investing in reusable platform capabilities. Opportunity details ## About this role. [Phantom](https://phantom.com) is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play’s finance category and consistently ranks in the top 50 apps across all categories. Check out our[Forbes Fintech 50](https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/) and CNBC and Statista’s[World’s Top Fintech Companies 2026](https://www.cnbc.com/worlds-top-fintech-companies-2026/)! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ### About the role At Phantom, we’re looking for an AI Engineer to help shape how AI is adopted and scaled across the company. You’ll play a key role in building the 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 that drive meaningful business impact. You’ll partner closely with teams across the organization to identify opportunities, build AI powered workflows, and establish the technical foundations that make AI accessible, secure, and scalable. We’re looking for someone who enjoys building, experimenting, and shipping, with a strong understanding of modern LLM technologies and the engineering fundamentals required to bring AI solutions into production. ### Responsibilities * Build AI Solutions: Design, develop, and deploy AI powered tools, agents, and automation that streamline workflows and solve real business problems across the organization. * Develop AI Integrations: Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable seamless, intelligent workflows. * Own AI Infrastructure: Build and maintain the underlying infrastructure, services, and integrations that support reliable AI applications across teams. * Enable AI Adoption: Partner with stakeholders to identify opportunities for AI, translate business needs into technical solutions, and empower teams to leverage AI tools effectively. * Build for Scale: Develop reusable components, frameworks, and tooling that make it easier for teams to build, customize, and maintain their own AI workflows. * Ensure Security & Reliability: Implement appropriate access controls, monitoring, observability, and operational safeguards to ensure AI solutions are secure, reliable, and maintainable. * Optimize AI Usage: Monitor model performance, usage, and costs while identifying opportunities to improve efficiency, quality, and business outcomes. * Drive Innovation: Stay current with emerging AI technologies, evaluate new models and frameworks, and identify practical opportunities to bring new capabilities into the organization. ### Qualifications * Strong software engineering background with experience building and maintaining production applications, services, or internal platforms. * Hands on experience developing applications using LLMs such as OpenAI, Anthropic Claude, or open source models. * Proficiency in Python, TypeScript, or similar programming languages, with experience integrating APIs and building backend services. * Experience building AI agents, workflow automation, or applications that leverage LLM orchestration frameworks. * Familiarity with retrieval augmented generation (RAG), tool calling, structured outputs, prompt engineering, and modern AI application patterns. * Experience integrating applications with enterprise tools, internal systems, and third party APIs. * Understanding of cloud infrastructure, deployment practices, monitoring, and production reliability. * Strong product mindset with the ability to translate ambiguous business problems into practical technical solutions. * Ability to work independently, take ownership of projects, and collaborate effectively with both technical and nontechnical stakeholders. * A genuine interest in AI and 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 technologies such as LangChain, LangGraph, Claude Agent SDK, or similar frameworks. * 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 applications. * Experience working in a fast growing technology company where speed, ownership, and adaptability are essential. You’ll help make AI a practical and valuable part of how Phantom operates. Success means delivering solutions that teams actively use, reducing manual work, accelerating execution, and creating a scalable foundation for continued AI adoption. You’ll have the opportunity to own projects from concept through production, influence our internal AI strategy, and help define how we leverage AI across the organization. Why Work With Us Phantom’s journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people. * Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. * Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. * Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) * Competitive salary and equity * Comprehensive insurance (medical/dental/vision): base plan 100% covered * Flexible hours and a long-standing, supportive remote environment * Unlimited vacation: Take time when you need it (and we really mean it!) * 401(k) retirement plan * Wellness stipend * Weekly meal stipend * Learning & Development stipend * Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. (“Phantom”) collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws. Show more [Apply now >](https://jobicy.com/jobs/158242-ai-engineer.md) > Annual salary information is not provided for this position. 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