À propos
Location: Work is what you do, not where you go. For this role, we are open to remote work and can hire anywhere in the United States or Canada.
About the Opportunity
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.
What you will get to do
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.
Skills and experience we value
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
What would make you really stand out
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
Compétences linguistiques
- English
Avis aux utilisateurs
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