AI Platform Developer Sr

Dayforce

9d • Remote

About The Position

We are looking for an AI Platform Developer Senior to help shape the future of how developers build with AI. This role sits at the intersection of infrastructure, tooling, and developer experience—focused on building a seamless and scalable platform for developing, deploying, and maintaining AI applications.
You will work within a modern cloud-based environment, empowering both internal teams and external developers to harness the power of AI—whether they are building code assistants, autonomous agents, or full-stack AI apps. If you are passionate about making AI accessible, fast, and safe for everyone, this is the opportunity to have a broad and lasting impact.

Requirements

• Bachelor’s degree in computer science, Data Science or related field
• 6+ years in software Engineering, with 4+ years in AI/ML infrastructure or platform roles
• Experience with cloud platforms such as AWS, GCP, or Azure and their machine-learning services
• Knowledge of cloud-native AI platforms (e.g., Replit, Vercel, LangChain or similar)
• Proficiency in building distributed systems and managing scalable compute infrastructure (Kubernetes, serverless architectures, etc.)
• Solid understanding of LLMs, vector databases, RAG pipelines, and fine-tuning workflows
• Strong programming skills in Python (plus Go, TypeScript, or JavaScript a bonus)
• Familiarity with modern MLOps tools and practices (e.g., MLFlow, Weights & Biases, Azure ML, Vertex AI)
• Solid understanding of security, observability, and performance engineering in a cloud environment

Nice To Haves

• Direct experience integrating AI capabilities into a live developer platform (e.g., IDEs, code assistants, copilots)
• Experience working with cloud-native platforms (e.g., Replit, Vercel, LangChain or similar)
• Hands-on experience with LLMs, vector databases, RAG pipelines, and fine-tuning workflows
• Contributions to open-source AI tooling or platforms
• Experience optimizing LLMs for low-latency inference in a browser or edge environment
• Strong product intuition and a track record of building tools that developers love
• Passion for democratizing AI and enabling builders of all skill levels to succeed

Responsibilities

• Design and build scalable infrastructure for AI workloads (inference, training, fine-tuning) within a multi-tenant, cloud-native development platform
• Develop tools, APIs, and libraries that simplify building and deploying AI/LLM-based applications from a collaborative environment like Replit
• Integrate and optimize large language models (LLMs), RAG pipelines, embedding stores, and multi-modal systems
• Implement MLOps best practices for model versioning, deployment, monitoring, and performance optimization
• Collaborate with Engineering, product, and research teams to ship AI-powered features that enhance developer workflows
• Ensure platform reliability, security, and responsible AI practices at scale
• Continuously explore and evaluate emerging AI tools and frameworks for inclusion into the platform.

Benefits

• Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
• Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.
• With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level