Applied AI Engineer III
Boston, Massachusetts, United States
USD 139K-232K Senior-level Full Time
Tasks
- Build and deploy cloud-native services
- Build full stack products
- Conduct rapid experimentation
- Create infrastructure as code
- Create technical specifications and scalable code
- Design and implement RAG pipelines
- Design software components and integrations
- Develop GenAI and agentic capabilities
- Develop with unit testing
- Integrate LLMs into applications
- Orchestrate AI agents
- Own cloud cost and FinOps accountability
- Own inference and token cost
- Support production operations
- Write prompts and evaluations
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agent | AI agent orchestration | AWS | AWS Bedrock | Agent Orchestration | Angular | Anthropic | Azure | Azure OpenAI | C# | Cloud platform | DevSecOps | Evaluation | FaaS | FinOps | GitHub | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | LLM integration | Langchain | Langgraph | Lean | MLflow | Microservices | NoSQL | Node.js | OpenAI | PaaS | Prompt engineering | PyTorch | Python | RAG | React | SQL | SRE | SonarQube | TensorFlow | TypeScript | Unit Testing | Vector Databases | Vertex AI | XP | “as-code”
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
Cities
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