Note: The job is a remote job and is open to candidates in USA. Newfold Digital is hiring a Senior Backend Engineer for Bluehost’s innovation team. The role builds and scales production backend systems that support AI-powered products, including APIs, multi-agent workflows, LLM integrations, and RAG pipelines. It also owns observability, CI/CD, and AI delivery guardrails.
Responsibilities
- 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
Skills
- 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
Benefits
- Work-life balance and a culture that respects your time
- 20+ affinity groups connecting employees globally
- Excellent health coverage
- HSA
- Dental coverage
- Vision coverage
- Matching 401(k)
- Life, AD&D, STD, and LTD coverage
- Tuition reimbursement
- Pet insurance
- Generous PTO
- Mentorship, new challenges, and real career growth
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