Back to search
Addison Group Linkedin · Posted 1mo ago

Artificial Intelligence Engineer

Houston, Texas, United States

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

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

Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock the full index and keep your job-search signal for future recommendations.

Unlock free search