AI Platform Engineer/ Hybrid/ Austin, TX

We are seeking a Senior Python/GenAI Engineer to design and implement scalable AI-driven services using LLMs and cloud-native technologies. The role involves building APIs, optimizing inference pipelines, and developing production-ready GenAI applications in a hybrid environment near Houston, TX. The ideal candidate has 7+ years of experience with Python, cloud platforms (Azure/GCP), and LLM frameworks like LangChain.

• Design and implement scalable APIs and shared software services using Python. Build and support applications on an AI platform leveraging modern GenAI technologies. Develop LLM-powered applications using tools like LangChain or LlamaIndex. Work with Azure OpenAI and/or Google GenAI APIs to integrate LLM capabilities into production systems. Build cloud-native applications in Azure and GCP. Implement serverless architectures and containerized workloads using Docker and Kubernetes. Design, monitor, and optimize AI inference and data pipelines. Troubleshoot issues across application code, cloud environments, and AI services. Document architecture, APIs, and internal AI platform components. Collaborate with internal engineering and support teams. Contribute to architecture discussions and continuously improve system performance, security, and scalability. Develop proof-of-concepts (POCs) to evaluate emerging AI technologies.

• 7+ years of full software development lifecycle experience. Strong Python development experience. Deep understanding of object-oriented design principles, design patterns, and scalable architecture. Proven experience designing and implementing APIs and backend services. Hands-on experience building and deploying applications in Azure and/or Google Cloud Platform. Strong understanding of cloud scaling concepts and distributed systems. 2+ years of experience building LLM-based applications. Experience implementing RAG architectures, embeddings, vector databases, agents, and fine-tuning. Experience with LLM orchestration frameworks such as LangChain or LlamaIndex. Hands-on experience integrating OpenAI / Azure OpenAI / Google GenAI APIs. Experience with containerization and orchestration (Docker, Kubernetes). Familiarity with version control tools such as Git / Azure DevOps. Experience writing Azure DevOps YAML pipelines for CI/CD. Experience with at least one additional object-oriented language such as Java, C#, or C++. Strong communication skills and ability to work both independently and within collaborative engineering teams.