Artificial Intelligence Engineer

Hiring: Principal AI Engineer | Covington, KY | Onsite

We’re looking for a hands-on Principal AI Engineer to join a brand-new AI engineering organization building innovative GenAI/LLM solutions for a leading financial services organization.

This is a greenfield opportunity where you’ll help shape the technical strategy, architecture, engineering standards, and AI capabilities from the ground up.

Location: Covington, KY

Work Model: Onsite (5 Days in a week)

Experience: 8+ years of software engineering experience with a Bachelor's degree or equivalent experience

What You'll Do

- Architect and build production-grade AI/GenAI applications from concept through deployment

- Develop solutions using LLMs, AI agents, RAG, semantic search, and workflow automation

- Design scalable enterprise AI platforms and distributed systems

- Partner with product, business, data science, architecture, and engineering teams to identify high-value AI use cases

- Establish engineering best practices and technical standards for a new AI organization

- Mentor engineers and provide technical leadership across teams

- Build secure, reliable, cloud-native applications at enterprise scale

- Translate emerging AI capabilities into practical business solutions that improve productivity and automate workflows

Top Skills

1️⃣ AI & LLM Engineering

• OpenAI
• Claude / Anthropic
• Gemini
• AWS Bedrock
• LangChain
• LangGraph
• CrewAI
• Python
• AI Agents / Agentic AI
• RAG
• Prompt Engineering
• Workflow Automation

2️⃣ Data Engineering & AI Data Foundations

• Snowflake
• Databricks
• Data Pipelines
• ETL / ELT
• Pinecone
• Weaviate
• Chroma
• Semantic Search
• Knowledge Retrieval
• Enterprise Data Architecture

3️⃣ Cloud Architecture, Scale & Security

• AWS / Azure
• Docker
• Kubernetes
• Terraform
• Microservices
• Cloud-Native Architecture
• Distributed Systems
• Security & Scalability

⭐ Ideal Background

We’re looking for someone who is more than an AI developer — you should be a Principal-level technical leader who can architect, build, and take AI solutions into production.

The ideal candidate brings:

✅ Strong GenAI/LLM engineering experience

✅ Hands-on experience building RAG and agentic AI solutions

✅ Strong Python/software engineering background

✅ Enterprise data engineering experience

✅ Cloud architecture and distributed systems expertise

✅ Experience with containers, Kubernetes, and Infrastructure-as-Code

✅ Strong architecture and system-design skills

✅ Experience mentoring engineers and influencing technical direction

✅ Ability to work directly with business and product stakeholders

✅ Experience taking AI solutions from POC → production

Example AI Use Cases

The team will work on solutions such as:

- Automated meeting preparation and research

- Intelligent call summarization and insight generation

- Automated follow-up and workflow orchestration

- Enterprise knowledge retrieval and recommendation systems

- AI-assisted decision support

- Productivity and workflow automation using enterprise data

Interview Process

2–3 rounds

1. Initial Zoom/phone screen
2. Technical interview with engineering/architecture team
3. Product/business discussion

If you're a Principal/Staff-level AI Engineer who wants to help build an AI organization from the ground up, I'd love to connect.

Interested? Send me your resume on View email address on click.appcast.io or apply on this job post.

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