Greenberg Traurig

Automation Engineer

Greenberg Traurig • $90K — $120K *
Atlanta, GA 30349Hybrid
Legal & Accounting
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong proficiency in Python with modern frameworks (e.g., FastAPI, Pydantic) and libraries (asyncio, requests/httpx).
  • Experience designing and deploying AI agents and workflows in production environments.
  • Hands-on experience with orchestration frameworks like LangChain and Semantic Kernel.
  • Familiarity with LLM APIs for prompt engineering and structured outputs.
  • Proficient in Microsoft Azure and Power Platform, plus RPA tools (UiPath, Automation Anywhere).
  • Ability to prioritize and work under pressure in a fast-paced setting, preferably in legal or professional services.

Responsibilities

  • Develop automation solutions and backend services using Python, including asynchronous workflows and API integrations.
  • Design and maintain AI agents and orchestration systems for multi-step workflows.
  • Leverage Microsoft Azure services to build robust automation workflows.
  • Implement multi-agent systems for reasoning and planning tasks.
  • Create integrations across systems using Python and orchestration tools, ensuring seamless data flow.
  • Collaborate with legal and IT teams to deliver impactful automation solutions.
  • Monitor automation performance and maintain compliance with governance standards.

Benefits

  • Opportunity to work at a leading innovation-focused team in various U.S. locations.
  • Engage in cutting-edge technology and automation projects within the legal field.
  • Collaboration with cross-functional teams including AI application development and legal experts.
  • Contribute to a culture of knowledge sharing and continuous improvement in automation solutions.
Full Job Description
Join our Innovation Team as an Automation Engineer in one of our various U.S. office locations. Position Summary We are seeking a highly skilled Automation Engineer to design, develop, and maintain intelligent automation and agentic AI solutions that streamline operations, enhance client service delivery, and improve internal efficiencies. This role requires strong hands-on Python development experience, expertise in designing AI agents and agentic orchestration systems, and proficiency with Microsoft Azure and Power Platform technologies, as well as third-party automation tools. Key Responsibilities
  • Design & Development
    • Develop robust automation solutions and backend services primarily using Python, including asynchronous workflows, data processing pipelines, and API integrations.
    • Design, build, and maintain AI agents and agentic orchestration systems that autonomously execute multi-step business and legal workflows.
    • Build and maintain automation workflows using Microsoft Azure services (Logic Apps, Functions, Service Bus, Data Factory).
    • Develop solutions within the Power Platform environment (Power Automate, Power Apps, Dataverse).
    • Integrate third-party RPA/automation platforms to extend automation capabilities.
  • Agentic AI & Orchestration
    • Architect and implement multi-agent systems capable of reasoning, planning, and tool use to accomplish complex objectives.
    • Leverage agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Microsoft Agent Framework, or similar) to orchestrate LLM-powered workflows.
    • Design and implement tool-calling, function-calling, and MCP (Model Context Protocol) integrations to connect agents with enterprise systems.
    • Build durable, observable, and recoverable agent workflows with appropriate guardrails, evaluation, and human-in-the-loop checkpoints.
    • Implement memory, retrieval (RAG), and context management strategies to support long-running agentic processes.
  • Integration & Orchestration
    • Create robust integrations across diverse systems using APIs, Python-based services, scripting (e.g., PowerShell), and orchestration tools.
    • Ensure seamless data flow and process automation across legal, financial, and operational systems.
    • Containerize and deploy Python services (Docker, Azure Container Apps, Kubernetes) following modern DevOps practices.
  • Collaboration & Delivery
    • Work closely with business stakeholders, legal teams, and IT to understand requirements and deliver impactful automation and agentic solutions.
    • Translate business needs into technical specifications and scalable automation designs.
    • Partner with the AI Application Development team to integrate agents into firm platforms such as Chat @ GT and the Client 360 Tool.
  • Governance & Optimization
    • Ensure all solutions comply with firm-wide security, compliance, and governance standards, including responsible AI practices.
    • Monitor and optimize automation and agent performance, proactively identifying opportunities for improvement.
    • Implement logging, tracing, and evaluation frameworks (e.g., LangSmith, Azure AI Foundry, OpenTelemetry) for agent observability.
    • Maintain documentation and contribute to a knowledge-sharing culture.
Qualifications Skills & Competencies
  • Strong proficiency in Python, including modern frameworks and libraries (e.g., FastAPI, Pydantic, asyncio, requests/httpx).
  • Demonstrated experience designing and deploying AI agents and agentic workflows in production or near-production environments.
  • Hands-on experience with agentic orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent).
  • Familiarity with LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.), prompt engineering, and structured output techniques.
  • Strong proficiency with:
    • Microsoft Azure (Logic Apps, Functions, Service Bus, Data Factory)
    • Power Platform (Power Automate, Power Apps, Dataverse)
    • RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism)
  • Ability to successfully adapt to changing priorities and work demands.
  • Ability to work under pressure to meet strict deadlines and effectively prioritize multiple tasks.
  • Experience working in a fast-paced law firm environment with diverse needs.
  • Excellent problem-solving, communication, and collaboration skills.
Education & Prior Experience
  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Minimum of 3–5 years of hands-on experience in automation engineering or a related field
  • Demonstrable experience building Python-based automation, integrations, or AI/agentic systems.
  • Experience working in a legal or professional services environment is a plus
Technology
  • Experience with scripting languages (PowerShell, Python, JavaScript)
  • Familiarity with RESTful APIs and integration patterns
  • Understanding of enterprise security, compliance, and governance frameworks

About Greenberg Traurig

Greenberg Traurig is a global law firm with approximately 2200 attorneys and governmental affairs professionals in 40 locations in the United States, Latin America, Europe, Asia, and the Middle East. The firm was founded in Miami, Florida in 1967 by Larry J. Hoffman, Mel Greenberg and Robert H. Traurig. The firm has a broad range of practice areas, including corporate and securities, real estate, litigation, and tax. Greenberg Traurig is known for its work in the entertainment industry, and has represented clients such as Lady Gaga, Justin Timberlake, and Madonna. The firm has also been involved in high-profile cases, such as the defense of former Enron CEO Jeffrey Skilling.
Learn more about Greenberg Traurig
Size
2,200 employees
Industry
Legal & Accounting
* Ladders Estimates

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