Lead AI Engineer
Location(s): Irving, Texas, United States
USD 156K-234K Senior-level Full Time
Tasks
- Architect agent-based systems
- Build RAG pipelines
- Build microservices and event-driven architectures
- Collaborate with business teams on AI risk and impact
- Create AI focused data pipelines
- Define evaluation frameworks for AI performance
- Deploy AI solutions to production
- Design and implement agentic AI solutions
- Design scalable APIs for AI services
- Develop production-grade AI applications
- Implement CI CD and testing for AI platforms
- Integrate LLM providers
- Manage AI model lifecycle
- Optimize AI systems continuously
- Orchestrate workloads with Kubernetes
- Run containers with Docker
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | API first | API-First Development | Agent systems | Angular | Anthropic | CI/CD | Docker | Event Driven | Event-driven architecture | Google | Java | JavaScript | Kubernetes | Language Models | Large Language Models | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Node.js | OpenAI | Operational Stability | PyTorch | Python | RAG | Resiliency | Retrieval-Augmented Generation | Security | Spring Boot | System design | TensorFlow | Testing | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
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