Applied AI Engineer II
Atlanta, Georgia, United States; Dallas, Texas, United States; Fort Worth, Texas, United States; Hermitage, Tennessee, United States; Nashville, Tennessee, United States
USD 102K-188K Mid-level Full Time
Tasks
- Apply AI agent SSDLC from discovery to production
- Build full stack products end to end
- Conduct prompt engineering
- Create technical specifications
- Deliver using continuous improvement and automation
- Develop GenAI and agentic capabilities in products
- Develop RAG pipelines
- Develop test integrate and support features
- Evaluate LLM outputs and applications
- Implement scalable supportable and maintainable code
- Integrate with product and customer feedback
- Maintain code integrity and architecture alignment
- Orchestrate AI agents
- Own cloud cost for built services
- Own inference and token cost
- Perform requirement analysis and component design
- Run rapid low cost experimentation
- Translate business and user needs into technical specs and code
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agent | AI agent orchestration | AWS | AWS Bedrock | Agent Orchestration | Algorithms | Angular | Anthropic API | Azure | Azure OpenAI | C# | Data Structures | DevSecOps | FaaS | FinOps | GCP | GitHub | Infrastructure as Code | Java | JavaScript | LLM Evaluation | Langchain | Langgraph | MLflow | Microservices | NoSQL | Node.js | OOP | OpenAI API | PaaS | Prompt engineering | PyTorch | Python | RAG | React | SQL | SRE | SonarQube | TensorFlow | TypeScript | Unit Testing | Vector Databases | Vertex AI | “as-code”
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
Language: en
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