Conversational AI Engineer
Tasks
- Architect agentic systems
- Build internal tooling and libraries
- Build retrieval-augmented generation pipelines
- Collaborate on prompt model co design
- Conduct technical reviews
- Define LLM application standards
- Design prompt structures and instruction templates
- Design retrieval strategies
- Develop evaluation frameworks
- Document reusable patterns and lessons learned
- Establish safety guardrails
- Implement chunking indexing and reranking
- Lead red teaming exercises
- Mentor engineers and applied scientists
- Monitor latency cost and quality
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Chunking | Cost Optimization | Embeddings | Evaluation | Fine Tuning | Indexing | Language Models | Large Language Models | Latency optimization | Memory systems | Multi-Agent | Multi-Agent Systems | Planning | Policy enforcement | Prompt engineering | Python | Red Teaming | Reranking | Retrieval-Augmented Generation | Safety filters | Tool use | Vector Databases
Education
Roles
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