And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
Key Responsibilities
We are seeking an experienced Software Engineer with a strong background in Platform Engineering to join our AI Applications team. You will be responsible for the "Inner Loop" of AI development—ensuring that our LLM-based applications, RAG pipelines, and agentic workflows are built, tested, and deployed with the same rigor as traditional software. You will bridge the gap between high-velocity AI experimentation and stable, enterprise-grade production infrastructure
Platform Self-Service: Create internal APIs and abstractions that allow Software Engineers to provision AI-ready environments (complete with model weights, vector DBs, and event streams) with a single command.
Agentic Automation: Use Golang and Python to build internal tools and AI Agents that automate root-cause analysis of infrastructure failures and proactively optimize infrastructure.. Event-Driven AI Integration: Leverage Kafka or RabbitMQ to build asynchronous AI processing pipelines (e.g., long-running document ingestion for RAG systems).
Reproducibility: Ensure "Golden Path" deployments for AI models using Docker and Kubernetes, ensuring that the model, the prompt, and the code are all perfectly synced across environments.
Ready to Apply?
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