Senior Backend Engineer

Newfold Digital•Texas - Remote, TX
•Remote

About The Position

The Senior Backend Engineer will join Bluehost’s innovation team, which is building the AI-native backbone of the platform. The role focuses on designing and delivering production-grade asynchronous backend systems that make AI a first-class part of products serving small businesses. This includes multi-agent orchestration, retrieval-augmented generation (RAG), and provider-agnostic LLM integrations. The engineer will take ideas from concept through production, with ownership of architecture and outcomes. They will build and scale Python services, develop AI workflows and retrieval pipelines, evolve data models, maintain CI/CD, and establish responsible AI delivery practices covering generated code, provenance, licensing, and customer-data boundaries.

Requirements

  • At least 5 years building production backend systems in Python, including real asynchronous I/O experience.
  • Hands-on experience designing and scaling REST or asynchronous APIs, including dependency injection and clean service architecture.
  • Practical experience integrating LLM APIs such as OpenAI, Gemini, or similar, and building AI readiness into backend systems.
  • Experience with vector databases and RAG-style retrieval architectures.
  • Strong relational database skills, including schema design, query optimization, and migration discipline.
  • Experience using AI across the delivery lifecycle, selecting suitable models for different problems, and identifying when not to use them.
  • Ability to review AI-generated code with awareness of its failure modes and establish guardrails for code review, provenance and licensing checks, and customer-data handling in prompts.
  • End-to-end CI/CD ownership, from build and test through packaging and deployment.
  • Self-starting, go-getter mindset; comfortable with ambiguity and fast iteration, and able to own problems through resolution.

Nice To Haves

  • Experience with multi-agent orchestration frameworks such as Semantic Kernel, LangChain, or similar.
  • Experience with LLM cost or observability tooling.

Responsibilities

  • Design and scale asynchronous REST and WebSocket APIs in Python using dependency injection, type hints, and clean vertical-slice architecture.
  • Implement sequential, concurrent, and handoff patterns for workflows that route work among specialized LLM agents.
  • Integrate multiple LLM providers behind a provider-agnostic layer to support A/B testing and cost-aware routing.
  • Build and maintain RAG pipelines using vector stores such as pgvector, Chroma, or managed vector search services.
  • Design schemas and evolve data models using ORM-style tools such as SQLAlchemy or SQLModel, including migrations.
  • Instrument services with structured logs, distributed tracing, and cost and latency metrics, maintaining p95 response-time performance under production load.
  • Own CI/CD end to end, including linting, type checking, testing, packaging, and deployment.
  • Champion AI throughout the delivery lifecycle and establish guardrails for reviewing generated code, checking provenance and licensing, and determining what customer data may enter prompts.
  • Move ideas from concept to production with ownership of architecture and outcomes.

Benefits

  • Work-life balance.
  • Health insurance options, HSA, medical, dental, and vision coverage.
  • Matching 401(k).
  • Life, AD&D, short-term disability, and long-term disability coverage.
  • Tuition reimbursement.
  • Pet insurance.
  • Generous vacation policy.
  • Diversity and inclusion programs, affinity groups, and learning and development opportunities.
  • Opportunities for mentoring, career growth, and new challenges.
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