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AI and LLM Engineering
AI and LLM Engineering
Most AI demos fall apart in production. We build the kind that holds up: retrieval augmented generation over your own data, agents that do real work, and LLM features wired properly into your product. We add evaluation harnesses, guardrails, and cost controls so the thing stays accurate and affordable as it scales. And if a simpler non-AI solution is the right call, we will tell you that too.
What is included
- LLM and RAG features over your data
- AI agents and workflows
- Evaluation harnesses and testing
- Guardrails, safety, and moderation
- Prompt and context engineering
- Cost and latency optimization
Tech we use
Tools for this work.
OpenAIAnthropicLangChainPythonTypeScriptPineconePostgreSQL
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