This AI team is expanding rapidly, with multiple AI‑driven initiatives underway and more in the pipeline. This role is a backfill for a high‑impact contributor and will focus on building and scaling enterprise AI solutions—not just designing prompts, but owning end‑to‑end development and deployment.

Looking for a hands‑on AI Engineer who combines strong software engineering fundamentals with practical LLM experience. You should be comfortable building applications and thoughtfully designing how AI is implemented within them.

This is a high‑visibility, startup‑style environment where your work directly impacts business operations across the organization.

What You’ll Be Working On

Internal chatbot and AI assistant development
AI agent initiatives, including UI‑driven agent workflows
Document ingestion, search, and retrieval systems (RAG)
AI vision + OCR/ICR‑based solutions
Enterprise integrations with internal systems (SharePoint, data platforms, etc.)

Key Responsibilities

AI Application Development (Core Focus)

Design, build, and deploy AI‑powered applications used across business teams
Develop full‑stack solutions using C# (Blazor), .NET, Python, and SQL
Build and integrate microservices that support scalable AI functionality
Own deployments and integrations within cloud environments (Azure preferred)

LLM & Prompt Engineering

Design and refine prompts for chatbots, copilots, and AI agents
Apply structured prompting techniques (few‑shot, chain‑of‑thought, etc.)
Test outputs for accuracy, reliability, and business alignment
Implement guardrails, governance rules, and validation strategies

RAG & AI Architecture

Build and maintain retrieval‑augmented generation (RAG) pipelines
Work with vector databases, embeddings, and semantic search
Integrate LLMs with internal data sources (SharePoint, blob storage, etc.)
Contribute to AI patterns such as agent frameworks and multimodal processing

Business‑Focused Delivery

Translate business needs into technical AI solutions with measurable impact
Collaborate directly with stakeholders across operations, compliance, engineering, and more
Clearly articulate what was built, why it matters, and how it’s used

Must‑Have Skills

Strong software engineering background (not purely data science)
Hands‑on experience building applications using:
C# / .NET (Blazor preferred) and/or Python
SQL / backend systems
Experience working with LLMs (OpenAI, Azure OpenAI, etc.)
Familiarity with:
RAG architectures
Chatbots / AI assistants
API integrations
Cloud experience (Azure preferred; AWS/GCP acceptable)
Ability to own features end‑to‑end (design → build → deploy)

Nice to Have

Experience with Azure services (Functions, Service Bus, Cognitive Search, OpenAI)
Experience with LangChain, Semantic Kernel, or similar frameworks
AI agent development
OCR/ICR or document processing systems
Exposure to enterprise‑scale AI implementations
AI certifications or strong personal projects

Addison Group AI Jobs

Latest AI Jobs at Addison Group

Artificial Intelligence Engineer

Head of Artificial Intelligence and Data Science

Head of Data Science & AI