AI Platform Engineer with focus on AI
Compunnel Inc.
Houston, TX, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Continuous Integration
Python (Programming Language)
Machine Learning
Azure Machine Learning
AI Infrastructure
Large Language Models
Prompt Engineering
Generative AI
+6 more
Containerization
AI Platforms
Kubernetes
Machine Learning Operations
Docker
Databricks
Job description
We are looking for an AI Platform Engineer to build and manage scalable AI platforms that support the development, deployment, and monitoring of Generative AI and Machine Learning solutions. The ideal candidate should have hands-on experience with LLMs, AI infrastructure, MLOps, and cloud technologies., * Design and develop enterprise AI/GenAI platforms.
- Build and manage LLM-based solutions, RAG architectures, and AI agents.
- Implement MLOps/LLMOps pipelines for model deployment and monitoring.
- Integrate AI services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
- Optimize AI workloads using Docker, Kubernetes, and cloud-native technologies.
- Ensure AI security, governance, and responsible AI practices.
Requirements
- Strong Python programming skills.
- Experience with Generative AI, LLMs, RAG, and Prompt Engineering.
- Hands-on knowledge of LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
- Experience with Azure AI, OpenAI, Databricks, MLflow, or Azure ML.
- Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (Azure preferred).
Preferred
- Experience building enterprise AI copilots or AI agents.
- Azure AI Engineer or related cloud certifications.
- Knowledge of Responsible AI and AI governance frameworks.
Benefits & conditions
3.63.6 out of 5 stars Houston, TX 77016 Hybrid work $60 - $65 an hour - Contract
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