Artificial Intelligence/Machine Learning Engineer
Undisclosed Location - USA, DC, Washington, United States
R
USD 99K-225K Mid-level Full Time
Tasks
- Apply prompt engineering techniques
- Balance solution quality reliability and cost
- Build agent-based solutions
- Collaborate with product leads and solution architects
- Create agent loops
- Deploy agentic systems end to end
- Design agentic AI prototypes
- Document code and follow code review practices
- Enable multi agent interaction patterns
- Implement agent orchestration
- Implement tool calling workflows
- Integrate LLM platforms
- Perform testing and iteration cycles
- Use MCP for external tool integration
Perks/Benefits
- Dependent care
- Health insurance
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Agent systems | Agentic AI | Artificial Intelligence | Chat Memory | Failure analysis | GraphRAG | LLM | MCP | Machine Learning | Memory Management | Multi-Agent | Multi-Agent Systems | Observability | Ollama | OpenAI | Prompt engineering | Retrieval-Augmented Generation | Session memory | Telemetry | Tool-Calling | Tracing
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Regions
Countries
States
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