AI Native SW Engineer
Dublin, 1 Grand Canal Square, Ireland
EUR 48K-62K (estimate) Entry-level Full Time
Tasks
- Add production observability tooling
- Build and tune embeddings and chunking
- Build multi-agent orchestration
- Create reusable patterns and playbooks
- Define agent accuracy latency safety metrics
- Deploy agentic solutions with client teams
- Design agentic AI systems end to end
- Develop policy based routing
- Engineer context windows
- Implement LLMOps eval harnesses
- Implement fallback routing
- Implement rag pipelines
- Implement vector search
- Integrate LLM providers
- Integrate tool invocation
- Lead technical design sessions
- Manage agent memory
- Manage tokens latency and cost
- Monitor cost and safety
- Present recommendations to stakeholders
- Set up lifecycle observability
- Set up prompt versioning
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Anthropic API | Autogen | Braintrust | CI/CD | Chunking | Cost Optimization | CrewAI | Docker | Embeddings | Eval Harness | Helm | Infrastructure as Code | Java | Kubernetes | LLMOps | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Memory Management | Microservices | Multi-Agent | Multi-agent orchestration | Observability | OpenAI API | Policy routing | Prompt versioning | Python | RAG | Serverless | Terraform | Token Management | Tool invocation | Vector Databases | Vector Search | Vertex AI | “as-code”
Education
N/A
Roles
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