Director, AI Engineer

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Design and develop multi-agent systems utilizing LLM orchestration frameworks for client-oriented AI products.

• Execute comprehensive AI orchestration use cases tailored for clients.

• Create agentic wrappers and interfaces around data science models, encompassing MMM, forecasting, and incrementality.

• Set up Genie spaces for client data exploration and self-service analytics.

• Construct reusable agent components, prompt templates, and tool-use libraries.

• Assess LLM providers based on their capabilities, costs, and latencies, while recommending the best options.

• Work alongside the Offshore Director Staff AI Engineer to guide architecture direction, establish design patterns, and maintain coding standards.

• Produce production-quality Python code with error handling, observability, CI/CD integration, and deployment automation.

• Collaborate with Data Scientists to comprehend models and develop resilient, precise agent interfaces.

• Contribute to the creation of technical documentation, architecture decision records, and operational runbooks.

• Report directly to the VP, AI Agents & Automation.

• Partner with an offshore engineering team to develop scalable and reliable AI products.

⛳️ Requirements

• Over 5 years of software engineering experience with a strong command of Python.

• More than 2 years of practical experience with LLMs, including prompt engineering, RAG, function calling, or agent frameworks.

• Proficient in at least one agent orchestration framework, such as LangChain, LangGraph, AutoGen, CrewAI, or similar.

• Strong skills in system design, including API architecture and distributed systems.

• Familiarity with cloud platforms, preferably Azure, and experience in container orchestration.

• Knowledge of vector databases, embeddings, and large-scale RAG systems.

• Excellent skills in debugging, performance optimization, and problem-solving.

• Ability to effectively collaborate with distributed teams across various regions and time zones.

• Experience with Databricks and/or Genie.

• Background in media, advertising, or marketing technology.

• Familiarity with MLOps, model-serving infrastructure, and the production model lifecycle.

• Experience in developing conversational AI or copilot-style products.

• Contributions to open-source projects related to agentic AI.

🏝️ Benefits

• Medical, vision, and dental insurance.

• Life insurance.

• Short-term and long-term disability insurance.

• 401k.

• Flexible paid time off.

• At least 15 paid holidays each year.

• Paid sick and safe leave.

• Paid parental leave.

• Flexible working arrangements, with in-person collaboration as needed.

• Office attendance flexibility based on commuting distance and role/business requirements.