Job Description
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 Google Cloud Platform 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