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The Role: AI Developer

Location: Durham, NC

Type: Contract

What You Ll Do

Our client is looking for an AI Developer who can build and operate production grade AI systems. This role focuses on Python based backend development, LLM powered applications, and cloud native deployments on Azure. The AI Engineer will work on document processing pipelines, AI assisted workflows, and API driven services, owning systems from early design through scalable, observable, and reliable production deployments. This role requires strong engineering fundamentals, with a focus on building AI systems that behave predictably, scale reliably, and operate safely in production environments

What You Ll Work On

LLM powered applications (RAG pipelines, document extraction)
Backend services (APIs, async workers, event driven pipelines)
AI workflows integrated into business systems
Cloud native deployments on Azure
Performance, cost, and observability of AI systems

Key Responsibilities

AI & Application Development

Design and implement LLM based systems (RAG, prompt pipelines, structured extraction)
Build document intelligence pipelines (parsing, validation, enrichment)
Integrate AI services into production APIs and backend systems
Ensure robustness around edge cases, retries, and failures

Backend Engineering

Develop clean, modular Python services (FastAPI/Flask, async workers, batch jobs)
Design scalable APIs and service layers
Work with structured and unstructured data (JSON, files, event streams)

Cloud & Infrastructure (Azure First)

Deploy and manage services on Azure (App Services, Functions, Storage, Service Bus)
Work with Azure OpenAI and related AI services
Ensure systems are secure, scalable, and cost efficient

Systems Thinking & Production Readiness

Design for observability (logging, metrics, tracing)
Identify and handle failure modes in AI pipelines
Optimize for latency, throughput, and cost
Participate in architecture decisions and trade off analysis

Required Qualifications

Core Engineering

Strong Python development (production grade code, testing, modular design)
Experience building backend systems (APIs, workers, pipelines)
Solid understanding of system design and distributed systems

AI / ML Systems

Hands on experience building LLM based applications
Understanding of RAG architectures, prompt design, and structured output extraction
Experience integrating AI into real production systems (not notebook only)

Cloud & Deployment

Experience with Azure (or similar cloud, with willingness to work in Azure)
Familiarity with cloud storage, compute, and event driven architectures

Preferred Qualifications

Docker and containerized deployments
Exposure to Kubernetes
Vector databases (Pinecone, FAISS, Azure AI Search)
Async frameworks, background workers, CI/CD pipelines
Prior work on document processing, workflow automation, or enterprise integrations

Why Golden Technology?

Founded in 1997, Golden Technology has grown from a two-person vision into a trusted partner for Fortune 500 clients nationwide. Along the way, we ve built a culture centered on family, professional growth, and giving back to our communities through our Golden Community initiatives.

Here s What Sets Us Apart

Family-first culture that values balance and support.
Career development through mentorship, opportunities, and investment in our people.
Community impact by dedicating time, talent, and resources to the places we live and work.

What s In It For You

Exciting opportunities with innovative companies.
Guidance from a recruiting team with decades of experience.
A professional, supportive culture built on trust and collaboration.

Ready to take the next step?

Apply today and let s build your brighter future together.

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