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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agent Engineer - **Company:** Goosehead Insurance Agency - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Natural Language Processing, Software Engineering, Unstructured Data, Reinforcement Learning, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Containerization, Kubernetes, Machine Learning Operations, Virtual Agents, Docker, Microservices - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/71b68f2f-e77e-4f16-9c34-d11cc1ab2334 ## About the Role 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., * 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., * Exposure to both Fortune 100 enterprises and startup environments, with the ability to balance rigor and speed. * Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) 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. ## Description * 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., * Corporate sponsored programs to enhance employee physical, financial, mental, and emotional wellness ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)