AI Platform Engineer - .NET / Python / GenAI| Onsite - Multiple U.S. Locations
$100,000 to $180,000
Apply (opens in a new tab)AI Platform Engineer - .NET / Python / GenAI| Onsite - Multiple U.S. Locations
Posted 3 days ago
SENIORITY
Lead
SALARY
$100,000 to $180,000
About the role
- Strong hands-on development experience with C# and.
- NET/.NET CoreStrong experience with ASP.NET Core, Web API, REST APIs, and microservices
- Good programming experience with Python
- Experience developing or integrating AI/ML and Generative AI solutions
- Exposure to LLMs, RAG, prompt engineering, embeddings, or vector databasesExperience with cloud platforms, preferably Microsoft Azure, AWS, or GCPStrong experience with Docker and Kubernetes
- Experience with CI/CD and DevOps practices
- Knowledge of relational and/or NoSQL databasesExperience building secure, scalable, production-grade enterprise applications
- Strong understanding of software architecture, design patterns, troubleshooting, and performance optimization
- Experience with Azure OpenAI, Microsoft Semantic Kernel, or similar GenAI frameworks
- Knowledge of Azure AI Services / Azure Machine Learning
- Experience integrating LLMs with existing .NET enterprise applications
- Familiarity with MLOps, model monitoring, and AI governance
- Experience with vector databases or search platforms such as Azure AI SearchFront-end experience with React or Angular is a plus
- Location Requirement
- This is a full-time onsite role. Candidates must be willing to work from one of the following locations:
- San Leandro, CA | Lake Forest, CA | Scottsdale, AZ | Pittsburgh, PA
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase PlanThings to know before you apply
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
