Senior Backend Engineer

This role is a part of Bluehost's innovation team, the group building the AI-native backbone of our platform while the rest of the business scales around us. You'll design async, production-grade backend systems that treat AI as a first-class citizen: multi-agent orchestration, retrieval-augmented generation, and provider-agnostic LLM integration, all woven into products millions of small businesses depend on. We want a true go-getter who can take an idea from whiteboard to production without waiting to be told how. What You'll Do & How You'll Make Your Mark • Design and scale async REST/WebSocket APIs in Python (FastAPI or similar), using dependency injection, type hints, and clean, vertical-slice architecture • Implement multi-agent workflows (sequential, concurrent, and handoff patterns) to route work among specialized LLM agents • Integrate multiple LLM providers behind a provider-agnostic layer, enabling A/B testing and cost-aware routing rather than hard-coding a single vendor • Build and maintain Retrieval-Augmented Generation (RAG) pipelines against vector stores such as pgvector, Chroma, or a managed vector search service • Design schemas and evolve data models (SQLAlchemy/SQLModel-style ORM plus migrations) that support both traditional application logic and AI-driven features • Instrument services with structured logs, distributed tracing, and cost/latency metrics, holding a real bar for p95 response time under production load • Maintain end-to-end CI/CD ownership, lint, type-check, test, package, and deploy, so releases are boring and safe • Champion AI across the delivery lifecycle, not just code generation, and set the guardrails the team works inside: how generated code gets reviewed, how provenance and licensing are checked, and what customer data may enter a prompt • Move ideas from concept to production fast, with real ownership over architecture and outcomes, not just tickets Who You Are & What You'll Need to Succeed • 5+ years building production backend systems in Python, with real async I/O experience • Hands-on experience designing and scaling REST or async APIs, including dependency injection and clean service architecture • Practical experience integrating LLM APIs (OpenAI, Gemini, or similar) and building AI-readiness into backend systems from the ground up • Real experience with vector databases and RAG-style retrieval architectures, not just reading about them • Strong relational database skills: schema design, query optimization, and migration discipline • AI-augmented delivery: you use AI across the delivery lifecycle, not just code generation, and can say which models suit which problems and where you don't use them. You review AI-generated code knowing its failure modes, and you have set the guardrails others work inside - review expectations for generated code, provenance and licensing checks, and clear boundaries for what customer data enters a prompt and what a security or compliance review will ask for. • End-to-end CI/CD ownership, from build and test through packaging and deployment • A self-starting, go-getter mindset: comfortable with ambiguity, fast iteration, and owning a problem until it's actually solved • Bonus: experience with multi-agent orchestration frameworks (Semantic Kernel, LangChain, or similar) and LLM cost/observability tooling #LI-SM1 #LI-Remote #Bluehost