AI Agent Engineer

Goosehead Insurance Agency LLC; Westlake (TX); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401K matching

Employee stock purchase plan

Paid holidays

Job summary

Goosehead Insurance Agency LLC in Texas is seeking an AI‑driven software engineer to design, build, and deploy agentic AI systems that leverage LLMs, NLP, and RAG pipelines to support client‑facing and internal workflows.

You will collaborate with data scientists and engineers, develop scalable APIs in Python and Java, and advance MLOps practices to ensure reproducibility, observability, and secure production deployments—while mentoring peers.

Qualifications

• 3–9 years of professional experience in software engineering or applied AI.
• Proficiency in Python and Java with demonstrated experience building production‑grade systems.
• Strong background in NLP, LLMs, and generative AI, including prompt engineering, fine‑tuning, and orchestration frameworks.
• Hands‑on experience with MLOps pipelines, containerization (Docker/Kubernetes), and CI/CD.
• Experience working with both structured and unstructured datasets.
• Strong problem‑solving and communication skills, with the ability to explain technical concepts to non‑technical stakeholders.

Responsibilities

• Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval‑augmented generation (RAG) pipelines to support client‑facing and agent‑facing use cases.
• Collaborate with data scientists, product managers, and engineers to translate ambiguous business problems into robust AI‑driven solutions.
• Develop and maintain scalable APIs and microservices in Python and/or Java that integrate AI capabilities into enterprise applications.
• Implement best practices in MLOps, ensuring reproducibility, observability, and seamless deployment of AI models into production.
• Drive innovation by staying current with advancements in generative AI, multi‑agent frameworks, and reinforcement learning.
• Contribute to the culture of security, compliance, and ethical AI adoption across the organization.
• Mentor junior engineers and contribute to the growth of Goosehead’s AI talent pipeline.

Skills

Python

Java

NLP

LLMs

prompt engineering

orchestration frameworks

MLOps

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

CI/CD

Vector databases

Job description

About Us

At Goosehead Insurance, we’re changing the way people think about insurance through a technology‑driven, client‑first approach. By combining a powerful digital platform with an expert agent network, we empower clients to find the best coverage for their needs – with transparency, efficiency, and trust at the core.

Who You Are

You are an AI‑focused software engineer with a strong foundation in building production systems powered by large language models (LLMs), natural language processing (NLP), and intelligent automation. You thrive at the frontier of research and application, capable of turning cutting‑edge models into secure, reliable, and scalable software. You’re comfortable in both Fortune 100–style environments and startup‑style innovation, and you want to grow your career into senior AI leadership roles.

Key Responsibilities

• Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval‑augmented generation (RAG) pipelines to support both client‑facing and agent‑facing use cases.
• Collaborate with data scientists, product managers, and engineers to translate ambiguous business problems into robust AI‑driven solutions.
• Develop and maintain scalable APIs and microservices in Python and/or Java that integrate AI capabilities into enterprise applications.
• Implement best practices in MLOps, ensuring reproducibility, observability, and seamless deployment of AI models into production.
• Drive innovation by staying current with advancements in generative AI, multi‑agent frameworks, and reinforcement learning.
• Contribute to the culture of security, compliance, and ethical AI adoption across the organization.
• Mentor junior engineers and contribute to the growth of Goosehead’s AI talent pipeline.

Required Qualifications

• 3–9 years of professional experience in software engineering or applied AI.
• Proficiency in Python and Java with demonstrated experience building production‑grade systems.
• Strong background in NLP, LLMs, and generative AI, including prompt engineering, fine‑tuning, and orchestration frameworks.
• Hands‑on experience with MLOps pipelines, containerization (Docker/Kubernetes), and CI/CD.
• Experience working with both structured and unstructured datasets.
• Strong problem‑solving and communication skills, with the ability to explain technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Exposure to both Fortune 100 enterprises and startup environments, with the ability to balance rigor and speed.
• Experience with cloud platforms (Azure, AWS, or GCP) and vector databases.
• Familiarity with agentic AI frameworks, autonomous workflows, or multi‑agent coordination systems.
• Background in insurance, financial services, or other regulated industries.
• Experience integrating AI into mission‑critical, client‑facing applications.

Benefits Summary

• High quality voluntary health, vision, disability, life, and dental insurance programs.
• 401K matching plan.
• Employee stock purchase plan.
• Paid holidays, vacation, and sick leave.
• Corporate sponsored programs to enhance employee physical, financial, mental, and emotional wellness.
• Financial solution program.

Equal Employment Opportunity

Goosehead is an equal‑opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job‑related factors, such as qualifications, experience, performance, and availability.