Full Stack AI Software Engineer - (Agentic Systems, LLMOps)
Tasks
- Build and optimize RAG pipelines
- Collaborate cross functionally to deliver AI solutions
- Deploy and operate LLM systems in production
- Design and build agentic AI systems
- Develop LLM-powered features
- Monitor and evaluate LLM systems
- Optimize latency cost reliability and scalability
- Prototype and productionize AI workflows
- Serve and scale fine tuned models
- Serve frontend and backend AI experiences
Perks/Benefits
- Employee share option plan
- Flexible working
- Hybrid working
- National Police Check
- Paid parental leave
- Study leave
- Volunteer leave
- Wellbeing fund
- Working With Children Check
Skills/Tech-stack
AWS | Agent Frameworks | Azure | CI/CD | Cost Optimization | Fine Tuning | Google Cloud | LLMOps | Langchain | Langgraph | Latency optimization | Llamaindex | LoRA | Model Evaluation | Model Monitoring | Node.js | PEFT | Prompt management | Python | Reliability Engineering | Retrieval-Augmented Generation | Scalability | Structured Output | TGI | TensorRT-LLM | VLLM | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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