AI Engineer

Phantom

. Design, develop, and deploy AI-powered tools, agents, and automation across the organization .

Posted 10/27/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI-powered tools and applications, with a strong focus on integrating LLMs and APIs to enhance organizational efficiency. Proven ability to translate business needs into technical solutions while ensuring production reliability and operational safeguards.

Highest-signal resume keywords

AI Application DevelopmentLLM IntegrationPython ProgrammingAPI DevelopmentCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringApplication DevelopmentWorkflow AutomationPrompt EngineeringModel Performance MonitoringAI Orchestration FrameworksAccess Control ImplementationCost OptimizationEnterprise Tool IntegrationProduction Reliability

Soft Skills

Project OwnershipCollaborationProblem SolvingCommunicationExperimentation

Tools & Technologies

OpenAIAnthropic ClaudeLangChainLangGraphClaude Agent SDKMCPEnterprise ConnectorsAI Coding ToolsAI Tool IntegrationsRAG Frameworks

Industry Keywords

AI AutomationEnterprise AIAI WorkflowsAI StrategyEmerging AI Technologies

Tech Stack

Tools & technologies

CloudOpen SourcePythonTypeScript

About the role

Key responsibilities & impact

Design, develop, and deploy AI-powered tools, agents, and automation across the organization
Connect LLMs and AI applications with internal systems, APIs, and enterprise tools
Build and maintain infrastructure, services, and integrations supporting reliable AI applications
Partner with stakeholders to identify AI opportunities and translate business needs into technical solutions
Develop reusable components, frameworks, and tooling for AI workflows
Implement access controls, monitoring, observability, and operational safeguards
Monitor model performance, usage, and costs and improve efficiency, quality, and business outcomes
Evaluate emerging AI technologies, models, and frameworks for practical organizational use
Deliver solutions that reduce manual work, accelerate execution, and support scalable AI adoption
Own projects from concept through production and influence internal AI strategy

Requirements

What you’ll need

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
Experience integrating APIs and building backend services
Experience building AI agents, workflow automation, or applications using 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
Ability to translate ambiguous business problems into practical technical solutions
Ability to work independently, take ownership of projects, and collaborate with technical and nontechnical stakeholders
Genuine interest in AI and a bias toward experimentation, execution, and measurable impact
Nice to have: experience with internal AI platforms or enterprise AI automation solutions
Nice to have: familiarity with AI coding tools, agent frameworks, and orchestration platforms
Nice to have: experience with LangChain, LangGraph, Claude Agent SDK, or similar frameworks
Nice to have: experience with MCP, enterprise connectors, and AI tool integrations
Nice to have: familiarity with LLM observability, evaluation frameworks, cost optimization, and usage analytics
Nice to have: experience implementing security, governance, and access controls for enterprise AI applications
Nice to have: experience in a fast-growing technology company

Benefits

Comp & perks

Competitive salary and equity
Comprehensive insurance (medical/dental/vision): base plan 100% covered
Flexible hours
Long-standing, supportive remote environment
Unlimited vacation
401(k) retirement plan
Wellness stipend
Weekly meal stipend
Learning & Development stipend
Remote / WFH set-up stipend