AI Platform Engineer/ Hybrid/ Austin, TX
We are looking for a Senior Python / GenAI Engineer with strong experience building cloud-native applications and developing solutions powered by large language models. In this role, you will help design and implement scalable AI-driven services within a modern cloud environment, working closely with engineering teams to build APIs, optimize inference pipelines, and deliver production-ready GenAI applications. Full Desk, Direct Hire role. Hybrid opportunity in the Houston area. Primarily a backend engineering role focused on AI platform development. What you will be doing Tech Breakdown 70% new development 30% optimization, support, and enhancements Daily Responsibilities
- 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 to improve performance and efficiency
- 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 to deliver scalable AI-driven solutions
- Contribute to architecture discussions and continuously improve system performance, security, and scalability
- Develop proof-of-concepts (POCs) to evaluate emerging AI technologies and their potential business impact
Experience / Requirements
- 7+ years of full software development lifecycle experience including design, development, testing, deployment, and support
- 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
Nice to Have
- AWS cloud experience
- Experience with Databricks or Apache Spark
- Knowledge of data warehousing and data lake architectures
- Experience working with relational databases and SQL
- Terraform infrastructure-as-code experience
- Experience building AI platform components or internal developer platforms
Education Bachelor’s degree in Computer Science, Information Systems, or a related technical field Posted By: Joshua Cairns Apply tot his job Apply To this Job