AI Engineer III

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

📋 Description

• Design, develop, deploy, and maintain Agentic AI applications, which encompass multi-agent workflows and orchestration.

• Engage in hands-on technical collaboration, conduct code reviews, and offer support and mentorship to both AI Engineers and contractors.

• Architect and implement RAG pipelines, vector search functionalities, embedding-based retrieval systems, and LLM integration patterns.

• Create and develop MCP Server integrations and frameworks for tool usage.

• Collaborate with the VP of Engineering, Data Strategy, and cross-functional stakeholders to translate AI strategy and roadmap into actionable technical execution plans.

• Select and integrate AI frameworks and platforms to provide scalable, reliable, and secure solutions.

• Establish and uphold engineering best practices, including CI/CD, testing, and responsible AI guidelines.

• Keep abreast of emerging trends, tools, and techniques in AI engineering.

• Assist with internal and external audits, safety and security policies, continuous improvement efforts, and training initiatives.

⛳️ Requirements

• Bachelor's Degree in a technical or quantitative discipline (Required).

• Over 8 years of experience in designing and developing software applications and/or data engineering pipelines.

• More than 3 years of experience in leading or providing technical guidance to engineers on application or AI/ML delivery teams.

• Proficient in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration.

• Knowledgeable in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation.

• Strong practical expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms.

• Demonstrated ability to lead technical delivery and mentor engineers effectively.

• Excellent communication and facilitation skills; capable of converting business requirements into technical designs.

• Familiarity with AI ethics, data privacy, and regulatory considerations pertinent to AI systems.

🏝️ Benefits

• Medical, dental, and vision coverage.

• 401K matching.

• Flexible PTO.

• Life insurance.

• Employee assistance program.

• Pet insurance.