Asks for

The ad says“• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.”
The ad says“• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.”
The ad says“• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.”
The ad says“• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.”
The ad says“• Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.”
The ad says“• Bachelor’s degree or equivalent practical experience in software engineering, computer science, information systems, automation engineering, or related field.”
The ad says“• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.”
The ad says“• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.”
The ad says“• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.”
The ad says“• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.”
The ad says“• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.”
The ad says“• Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.”

Values

The ad says“• Experience supporting AI-powered conversational systems or agent architectures preferred.”
The ad says“• Understanding of AI governance, auditability, data security, and confidentiality considerations.”
The ad says“• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.”
The ad says“• Familiarity with cloud infrastructure and scalable automation architectures.”
The ad says“• Understanding of AI governance, auditability, data security, and confidentiality considerations.”
The ad says“• Experience supporting AI-powered conversational systems or agent architectures preferred.”
The ad says“• Experience integrating CRM systems, document automation tools, client portals, or SaaS platforms.”
The ad says“• Understanding of AI governance, auditability, data security, and confidentiality considerations.”
The ad says“• Experience integrating CRM systems, document automation tools, client portals, or SaaS platforms.”
The ad says“• Experience with generative AI systems and AI orchestration frameworks.”
The ad says“• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.”
The ad says“• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.”
The ad says“• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.”
The ad says“• Experience integrating CRM systems, document automation tools, client portals, or SaaS platforms.”
The ad says“• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.”

We’re building the future of legal services.

Modern Family Law (“MFL”) is seeking a highly technical, systems-oriented, and operationally sophisticated AI Workflow Engineer / Automation Architect to help design and implement the next generation of AI-native legal workflows and operational automation systems.

This role is responsible for building the technical “plumbing” that powers AI-enabled legal service delivery, workflow orchestration, client automation systems, and operational integrations across the firm’s technology ecosystem.

The AI Workflow Engineer / Automation Architect will work closely with AI leadership, product teams, attorneys, developers, and operations personnel to architect scalable workflow systems that integrate AI models, internal platforms, document systems, CRMs, client portals, communication systems, and business operations.

This individual will play a critical role in helping MFL evolve into an AI-native legal organization capable of delivering scalable, efficient, compliant, and client-centered legal services.

The ideal candidate combines strong engineering capability with operational systems thinking and a passion for building intelligent workflow infrastructure.

Key Responsibilities

• Design, build, and maintain AI-enabled workflow orchestration systems across legal and operational processes.
• Develop integrations between AI platforms, CRMs, document automation systems, client portals, payment systems, and internal operational tools.
• Build automation pipelines and event-driven workflows that support legal intake, document generation, communication systems, workflow routing, and escalation protocols.
• Collaborate with Legal Knowledge Engineers and Product Managers to translate legal workflows into scalable technical architectures.
• Implement API integrations across third-party platforms and internal systems.
• Develop retrieval, prompt orchestration, and workflow execution systems supporting AI agents and AI-assisted processes.
• Assist in designing scalable architectures for AI-powered client experiences and internal operational systems.
• Monitor workflow reliability, system performance, automation effectiveness, and operational scalability.
• Troubleshoot automation failures, workflow bottlenecks, and integration issues.
• Participate in security, governance, auditability, and compliance planning related to AI workflows.
• Document workflow architectures, system logic, integration maps, and operational standards.
• Evaluate emerging automation technologies, orchestration frameworks, and AI infrastructure tools.

Requirements

Required Qualifications

• Bachelor’s degree or equivalent practical experience in software engineering, computer science, information systems, automation engineering, or related field.
• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.
• Production-grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.

• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.

• Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.
• Experience working with automation platforms, orchestration tools, or AI infrastructure frameworks.
• Production-grade Python plus solid engineering practices (testing, code review, version control), and agent orchestration frameworks (LangGraph/LangChain, vector retrieval, LLM observability, e.g., LangFuse/LangSmith, API/webhook integrations).

• Strong analytical, troubleshooting, and systems-thinking abilities.
• Ability to work cross-functionally with technical and non-technical stakeholders.
• Excellent organizational and communication skills.
• Ability to manage multiple complex projects in fast-moving environments.

Preferred Qualifications

• Experience with generative AI systems and AI orchestration frameworks.
• Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.
• Experience integrating CRM systems, document automation tools, client portals, or SaaS platforms.
• Experience within legal technology, healthcare technology, financial services, or other regulated industries.
• Familiarity with cloud infrastructure and scalable automation architectures.
• Understanding of AI governance, auditability, data security, and confidentiality considerations.
• Experience supporting AI-powered conversational systems or agent architectures preferred.

Characteristics of the Ideal Candidate

The ideal candidate is a systems builder who enjoys solving complex operational problems through thoughtful engineering and intelligent automation.

They are highly organized, technically curious, operationally minded, and energized by the opportunity to help redesign legal service delivery through scalable AI infrastructure and workflow systems.

This individual should possess the ability to:
• Think architecturally and systematically.
• Translate operational needs into scalable technical solutions.
• Collaborate effectively across legal, operational, and technical teams.
• Identify inefficiencies and design elegant workflow solutions.
• Balance innovation, reliability, security, and operational scalability.

Compensation & Benefits

Modern Family Law offers highly competitive compensation, performance incentives, comprehensive benefits, and the opportunity to help shape one of the nation’s most innovative family law organizations.

Compensation will be commensurate with technical capability, engineering sophistication, operational impact, and strategic contribution.

About Modern Family Law

Modern Family Law is one of the nation’s leading family law firms, focused on combining exceptional legal representation with innovation, technology, and client-centered service.

The firm is actively exploring AI-native legal workflows, advanced client experience systems, and new models for increasing accessibility, efficiency, and scalability within legal services.

We believe the future of law belongs to organizations capable of combining outstanding legal talent with thoughtful technological innovation.

Skills and Competencies:

• Ability to communicate professionally and interact effectively with employees, managers, leadership, attorneys, support staff, and external partners

• Ability to be a proactive self-starter who can operate independently while managing multiple priorities and deadlines

• Demonstrated attention to detail, reliability, organization, and follow-through

• Flexibility and ability to respond positively to shifting priorities and business needs

• Ability to work under pressure and manage competing priorities while maintaining accuracy and professionalism

• Ability to work in a primarily computer-based environment, including extended periods of sitting, screen time, typing, and use of standard office equipment

• Ability to occasionally lift and move office equipment or materials weighing up to 10 pounds

• Ability to work occasional evenings or adjusted hours as needed to support onboarding, offboarding, or time-sensitive operational needs

ADA Compliance: All candidates and incumbents are expected to perform the duties as assigned so long as they can meet the expectations set forth with or without reasonable accommodations. Should a candidate or incumbent require accommodation, they need to advise the Director of People & Culture in advance.

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Work From Anywhere -- eligible after 6 monthshttps://modern-family-law-1.workable.com/backend/jobs/5910536/app-form