ll do Translate business goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/ More ❯
ll do Translate business goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/ More ❯
ll do Translate business goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/ More ❯
london (city of london), south east england, united kingdom
Evergrowth
ll do Translate business goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/ More ❯
a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi-structured sources. Design RAG systems : chunking strategies, document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search … Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs (JSONSchema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper ). Choose customization paths pragmatically: prompt engineering , system prompts, tools, adapters/ More ❯