AI Platform Developer, Sr.
Dayforce
- Location
- United States · Canada
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 94,500–147,600/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design and build scalable infrastructure supporting AI workloads
- Develop tools, APIs, and libraries that simplify AI/LLM application development
- Integrate and optimize LLMs, RAG pipelines, vector databases, and multimodal systems
- Implement MLOps best practices for model lifecycle management
- Collaborate with teams to deliver AI-powered capabilities
- Ensure platform reliability, scalability, security, and responsible AI practices
- Evaluate emerging AI tools and technologies
- Contribute to architectural decisions for platform growth
- Drive continuous improvements in developer productivity
Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field
- 6+ years of software engineering experience
- 4+ years focused on AI/ML infrastructure or platform development
- Experience with AWS, Azure, or Google Cloud Platform and their ML services
- Familiarity with cloud-native AI platforms like Replit, Vercel, LangChain
- Experience building distributed systems and scalable compute infrastructure
- Experience with Kubernetes and serverless architectures
- Solid understanding of LLMs, vector databases, RAG pipelines, and model fine-tuning
- Strong programming skills in Python
- Experience with MLOps platforms and practices (MLflow, Weights & Biases, Azure ML, Vertex AI)
- Strong understanding of cloud security, observability, and performance engineering principles
- Excellent problem-solving, collaboration, and communication skills
Preferred
- Direct experience integrating AI capabilities into developer platforms, IDEs, code assistants, or copilots
- Experience working with cloud-native AI development platforms such as Replit, Vercel, LangChain
- Hands-on experience with LLMs, vector databases, RAG pipelines, and model fine-tuning
- Contributions to open-source AI tools, frameworks, or platforms
- Experience optimizing LLMs for low-latency inference
- Strong product intuition and a track record of building tools developers love
- Passion for democratizing AI
Skills
- Python
- Go
- TypeScript
- JavaScript
- AWS
- Azure
- Google Cloud Platform
- Kubernetes
- Replit
- Vercel
- LangChain
- MLflow
- Weights & Biases
- Azure ML
- Vertex AI
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