ML & Agentic Solutions Engineer
Wellington, New Zealand
NZD 145K-170K (estimate) Senior-level Full Time
Tasks
- Apply prompting techniques
- Build agentic and multi agent solutions
- Build fallback logic for multi step reasoning
- Connect LLM agents with REST APIs
- Create human-in-the-loop collaboration flows
- Design conversational AI agents using LLMs
- Fine tune dialogue models
- Implement MCP servers
- Implement RAG patterns
- Implement agent orchestration and decision logic
- Integrate MCP with enterprise systems
- Integrate agents with databases
- Manage memory and context routing
- Test and refine tool using LLM solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Agents SDK | Conversational AI | Data Privacy | Ethical AI | FastMCP | Fine Tuning | Langgraph | Language Models | Language Processing | Large Language Models | MCP | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI Agents | OpenAI Agents SDK | Prompt engineering | PydanticAI | RAG | REST API | SQL
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
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