Artificial Intelligence Engineer
Indexed description
🚀 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
- Initial Zoom/phone screen
- Technical interview with engineering/architecture team
- 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 [email protected] or apply on this job post.
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