LLM Application Engineer
Tasks
- Build LLM-powered applications
- Debug AI systems across model prompts and backend services
- Design agent workflows
- Develop evaluation frameworks and datasets
- Implement reliable orchestration pipelines
- Improve model behavior with prompting and context engineering
- Integrate LLMs with tools and APIs
- Optimize quality latency and cost
- Orchestrate reasoning planning memory and tool use
- Set up observability tracing experimentation and continuous improvement
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Database Integration | Distributed Systems | Evaluation | Experimentation | JAX | Language Models | Large Language Models | Observability | OpenAI Compatible | OpenAI Compatible APIs | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Tool-Calling | Tracing | Vector Databases
Education
N/A
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