AI Platform Engineer/ Hybrid/ Austin, TX

Austin, TX, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

$135 - $160/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Large Language Models (LLMs)
Management
Optimization
Collaboration
Scalability
Software Development
Development Testing
Python
OOD
Design Patterns
Google Cloud Platform
Google Cloud
Vector Databases
LangChain
LlamaIndex
Generative Artificial Intelligence (AI)
Orchestration
Docker
Kubernetes
Version Control
Git
Writing
Microsoft Azure
DevOps
YAML
Continuous Integration
Continuous Delivery
Object-Oriented Programming
Java
C#
C++
Communication
Amazon Web Services
Cloud Computing
Databricks
Apache Spark
Data Warehouse
Data Lake
Relational Databases
SQL
Terraform
Artificial Intelligence
Computer Science
Information Systems

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 869166
Posted 1 hour ago

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