Senior AI Engineer

Who We Are.
Newfold Digital is a leading web technology company serving millions of customers globally. Our customers know us through our robust portfolio of brands. We have some of the industry's most prominent and storied go-to-market brands, including Bluehost, Host Gator, , Network Solutions,  and  We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs.

The strength of our company lives in the intersection of our people, our customers, and our brands.
What We’re Looking For   We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering fundamentals with practical AI problem solving. You will help build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation. You will work with senior engineers, architects, and product partners to turn customer and product problems into reliable, secure, observable, and cost efficient AI systems.

This is an applied engineering role focused on building, measuring, and continuously improving real AI products.
Whatyou’lldo & howyou’llmake your mark     Translate product requirements into practical AI solutions using LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software where appropriate.
Build production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools.
Implement reliable tool calling agents and multi step workflows that interact with internal APIs, MCP tools, business systems, and knowledge sources.
Build event driven workflows using RabbitMQ, Kafka, Azure Service Bus, or equivalent platforms, including retries, dead letter handling, idempotency, and failure recovery.
Build and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations.
Integrate models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems, and help select models based on quality, latency, reliability, and cost.
Build and run AI evaluations using curated datasets, regression tests, retrieval metrics, LLM as judge techniques, groundedness checks, and tool execution evaluation.
Debug hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs.
Operate as an AI powered engineer using Cursor, Claude Code, OpenAI Codex, or equivalent coding agents to accelerate implementation, testing, debugging, refactoring, and documentation.
Who you are & whatyou’llneed to succeed     5 or more years of professional software engineering experience building production backend, distributed, or cloud based systems.
At least 1 year of hands on experience building Applied AI, LLM, RAG, NLP, or agent based applications, with production experience strongly preferred.
Strong Python skills including FastAPI, asynchronous programming, Pydantic, SQL Alchemy or SQLModel, and production API development.
Good backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging.
Hands on experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures is required.
Hands on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows.
Experience building or contributing to a RAG or knowledge grounded system, including retrieval,…