Generative AI Platform Engineer (Need Local - Visa Independent)

Hybrid in Houston, TX, US • Posted 4 hours ago • Updated 4 hours ago

Contract W2

Contract Independent

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Generative AI Platform
C++
C#
or Java
Python
Google Cloud Platform (GCP)
Vertex AI
AWS Bedrock
Azure OpenAI

Summary

Job Title: Generative AI Platform Engineer

Location: Houston TX (Hybrid 3 4 days/week onsite)

Duration: 6+Months

We are looking for a Generative AI Platform Engineer to design, build, and scale enterprise-grade AI platforms and APIs that enable the adoption of large language models and generative AI capabilities across the organization.

This role is focused on platform engineering, not just model experimentation -

You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. You will work closely with software engineers, data scientists, and product teams to deliver reusable AI infrastructure, developer-friendly APIs, and production-ready solutions.

Key Responsibilities

Design and build scalable Generative AI platforms, services, and APIs for internal and external consumers
Develop and maintain high-performance backend services using Python and one or more of C++, C#, or Java
Integrate and operationalize LLM and foundation model APIs, including:
Azure OpenAI
Google Vertex AI
AWS Bedrock
Build abstraction layers and orchestration logic to support multiple model providers and deployments
Design RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
Implement platform capabilities such as:
Prompt management and versioning
Model routing and fallback strategies

Required Qualifications

7+ years of professional software engineering experience
Bachelor s degree in Computer Science or a related field (Master s degree preferred)
Strong proficiency in Python
Strong experience in at least one of the following: C++, C#, or Java
Proven experience building platforms, frameworks, and APIs (not just applications)
Hands-on experience with Google Cloud Platform (Google Cloud Platform)
Practical experience integrating with cloud-hosted AI/LLM APIs, including Azure OpenAI, Vertex AI, and/or AWS Bedrock
Strong understanding of API design, distributed systems, and cloud-native architectures
Experience taking systems from design through production deployment and operation Preferred

Qualifications

Experience designing multi-tenant or enterprise AI platforms
Familiarity with MLOps or LLMOps concepts (model lifecycle, monitoring, evaluation)
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of authentication, authorization, and secure API design
Experience supporting developer platforms or internal tooling What We re Looking For
A platform-first mindset you enjoy building reusable systems that enable other teams
Strong engineering fundamentals and attention to production quality
Comfort working across cloud services, APIs, and distributed systems
Ability to collaborate with both technical and non-technical stakeholders

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: 90859050
Position Id: 8874593
Posted 4 hours ago

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Generative AI Platform Engineer (Need Local - Visa Independent)

Dice Job Match Score™

Job Details

Skills

Summary

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