[Hiring] Senior Applied AI Engineer @Newfold Digital

Role Description

We are looking for a hands-on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network Solutions, including:

• Conversational agents
• Business and website creation
• Knowledge and FAQ agents
• Content experiences
• Domain discovery
• Intelligent automation

You will take ambiguous customer and product problems, evaluate different approaches, and independently turn the strongest solution into reliable, secure, observable, and cost-efficient production systems. This is an applied engineering role focused on shipping real AI products.

Qualifications

• 5 or more years of professional software engineering experience building production backend, distributed, or cloud-based systems.
• Hands-on experience building Applied AI, LLM, RAG, NLP, or agent-based applications, with meaningful production exposure.
• Advanced Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development.
• Strong backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging.
• Production experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures.
• Hands-on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows.
• Experience building at least one RAG or knowledge grounded system with measurable quality and latency outcomes.
• Strong PostgreSQL and data modeling skills, with experience using Redis, pgvector, vector databases, or hybrid search technologies.
• Demonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools as a core part of daily software engineering.

Requirements

• You should be comfortable going beyond a working demo and understand how modern AI systems behave, fail, and scale in production.
• Strong understanding of prompting, structured outputs, tool schemas, context management, model routing, retries, fallbacks, rate limits, and streaming responses.
• Ability to design experiments and evaluations that compare approaches using measurable outcomes rather than subjective testing alone.
• Understanding of retrieval quality, grounding, hallucination mitigation, prompt injection risks, tool authorization, and practical agent guardrails.
• Experience with Docker, CI/CD, automated testing, observability, distributed tracing, OpenTelemetry, Langfuse, or similar tooling.

Benefits

• Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, or equivalent agent frameworks.
• Experience building or consuming Model Context Protocol tools and servers, or working with model gateways such as LiteLLM.
• Experience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, or similar production AI platform technologies.
• Experience building high scale customer facing AI products, open weight model inference, AI safety controls, or automated agent evaluation systems.
• Strong problem solving, excellent engineering judgment, and the ability to independently move from ambiguity to a production quality solution are the foundation for this role.

Company Description

Newfold Digital is a leading web technology company serving millions of customers globally. Our customers know us through our robust portfolio of brands. We help customers of all sizes build a digital presence that delivers results. The strength of our company lives in the intersection of our people, our customers, and our brands.