AI Platform Engineer/ Hybrid/ Austin, TX

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

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

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

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