Senior AI Engineer | Austin, TX (Hybrid)

Hello

Job Summary:
We are seeking a highly skilled AI Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.

Mandatory Skills

• Agentic AI workflows
• AI orchestration
• API's & MCP integration

Key Responsibilities

• Design and implement AI-driven automation solutions to improve engineering and operational processes.
• Develop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.
• Integrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.
• Build Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.
• Create intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.
• Develop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.
• Collaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.
• Establish best practices, governance, and reusable patterns for AI implementation.
• Support enterprise modernization initiatives through AI-enabled process transformation.
• Measure and report productivity gains, efficiency improvements, and business outcomes.

Required Skills

• Strong experience in Python development.
• Hands-on experience with Generative AI, LLMs, and AI Agent frameworks.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.
• Experience integrating enterprise applications using REST APIs and SDKs.
• Knowledge of API integration, authentication, token management, and workflow orchestration.
• Experience with automation platforms such as Power Automate, Zapier, n8n, or similar.
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform).
• Experience with Git, CI/CD pipelines, and software development best practices.
• Strong problem-solving and stakeholder communication skills.

Experience

• 8+ years of software engineering experience.
• 3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation initiatives.
• Prior experience leading enterprise automation or AI transformation initiatives preferred.