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AI Engineer

Join Phantom as an AI Engineer to build and scale AI solutions that enhance operational efficiency across the organization.

Location
Remote-US
Compensation
Not disclosed
Level
mid
Type
full time · Remote

Posted by employer 6 days ago

First seen on Joblaze 5 days ago

Last verified on the company career page 1 day ago

Apply at Phantom → Save job Scanned from phantom.app

What you'll build

  • Design, develop, and deploy AI powered tools
  • Connect LLMs and AI applications with internal systems
  • Build and maintain AI infrastructure
  • Partner with stakeholders to identify AI opportunities
  • Monitor model performance and usage

Must have

  • Strong software engineering background
  • Hands on experience developing applications using LLMs
  • Proficiency in Python or TypeScript
  • Experience building AI agents or workflow automation
  • Understanding of cloud infrastructure

Nice to have

  • Experience building internal AI platforms
  • Familiarity with AI coding tools and agent frameworks
  • Experience with technologies such as LangChain
  • Experience with enterprise connectors
  • Familiarity with LLM observability

AI in the day-to-day

You'll help shape how AI is adopted and scaled across the company, building internal AI tools and integrations.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

401k Match Education Budget Unlimited PTO Equity/Stock Options Remote Work Health Insurance

Joblaze summary

In this role, the AI Engineer at Phantom focuses on developing and implementing AI tools and automation to enhance operational efficiency across the organization. Key skills include proficiency in Python and TypeScript, along with hands-on experience with large language models and AI integrations. This position is ideal for someone with a strong software engineering background who thrives in a fast-paced environment and enjoys translating complex business challenges into practical AI solutions. Phantom's fully remote team is backed by significant investment, emphasizing innovation and scalability in their approach to AI.

Joblaze insights

  • Listed 5 days ago — first seen on Joblaze October 29, 2026. Last confirmed on Phantom's careers page November 2, 2026.
  • Python appears in 49.9% of 479 comparable mid ai/ml roles in United States; Claude Agent SDK appears in 0.2% of 479 comparable mid ai/ml roles in United States.

Quick facts

Is the AI Engineer role remote?
Yes — Phantom lists this as a fully remote position.
What's the tech stack?
Joblaze extracted these technologies from the posting: Anthropic Claude, Claude Agent SDK, LangChain, LangGraph, OpenAI, Python.
What seniority level is this role?
Phantom targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this AI Engineer role at Phantom.

From the original posting

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.

 
  • Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.

Benefits (only available to full-time employees)

  • Competitive salary and equity

  • Comprehensive insurance (medical/dental/vision): base plan 100% covered

  • 401(k) retirement plan

  • Wellness stipend

  • Weekly meal stipend

  • Learning & Development stipend

  • Remote / WFH set-up stipend

Standard company text repeated across Phantom's postings is omitted here.

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