JobHabor

AI Platform Developer, Sr.

Dayforce

Location
United States · Canada
Workplace
Remote
Employment
Full Time
Salary
USD 94,500–147,600/yr
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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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