Newfold Digital is a leading web technology company serving nearly seven million customers globally. Established in 2021 through the combination of leading web services providers Endurance Web Presence and Web.com Group, our portfolio of brands includes: BlueHost, Crazy Domains, HostGator, Network Solutions, Register.com, Web.com, and many others. We help customers of all sized build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with customers to serve their online presence needs.
Why this role
Kick-start your career by building real GenAI features used by SMBs on our web-presence platforms. You’ll learn from senior engineers, ship code, and see measurable impact—fast.
What you will do:
Build and ship APIs in Python (FastAPI) or .NET/C# with tests, type hints, and clean structure.
Contribute to agentic features using Semantic Kernel or LangChain/LangGraph (tool calling + structured outputs).
Implement simple RAG (1-liner): wire retrieval using Azure AI Search or a vector store (e.g., pgvector) under mentorship.
Instrument & iterate: add traces/metrics (OTEL, Langfuse), watch latency/cost, write concise docs, and demo your work.
Minimum qualifications
Recent graduate (0–1 year experience).
Strong data structures & algorithms (arrays, strings, hash maps, graphs, complexity).
Proficient in Python or C#, Git, and basic SQL.
Side/college projects in AI (share links!): e.g., chatbot, RAG , classifier, or agent using tools/functions.
Familiar with prompts, tool calling, structured outputs; eager to learn multi-provider LLM patterns.
Clear written/spoken communication; comfortable with 8:30 AM–12:30 PM ET overlap.
Nice to have
Vector DB basics (pgvector/Qdrant/Chroma) and Azure fundamentals.
Containers (Docker), Postgres basics, Langfuse/OpenTelemetry exposure.
Any experience with LangChain/LangGraph or Semantic Kernel.
What you’ll learn here
Agent orchestration patterns in production (handoff / sequential / concurrent).
RAG evaluation basics and index hygiene.
CI/CD and code review habits for high-throughput services.
How to design for reliability, cost, and latency in GenAI systems.