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AI Python Engineer

Джерело:: djinni.co

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Що робити

AI Tooling & Automation: Design, build, and maintain AI agent tooling that automates engineering and business workflows.
Code Generation Pipelines: Develop and refine developer copilots and code-generation workflows.
Agent Integration & RAG: Integrate LLM APIs, agent-orchestration frameworks, RAG pipelines, and vector databases into production systems.
Production Reliability: Monitor, evaluate, and enhance agent performance, safety guardrails, and reliability from prototype to production rollout.
Documentation & Adoption: Document tooling, establish prompt engineering standards, and support internal teams in adopting AI agents.

Що очікуємо

Engineering Background: 4+ years of commercial software engineering experience, with a recent focus on applied AI/LLM systems.
Agent Frameworks: Hands-on experience building LLM-based agents or agent-orchestration frameworks (LangChain, LangGraph, AutoGen, or custom pipelines).
Code-Gen & Copilots: Proven experience with code-generation tooling and AI-assisted development workflows.
Core Tech Stack: Strong Python skills (TypeScript/JavaScript is a plus) for agent tooling and integration.
LLM & Vector Ecosystem: Experience working with LLM APIs (OpenAI, Anthropic, etc.), RAG architecture, vector stores, prompt engineering, and guardrails.

Що пропонуємо

Experience deploying agentic frameworks in enterprise settings.
Familiarity with MLOps / LLMOps practices.
Contributions to open-source AI tooling.
📍 Project Details:
⏳ Duration: Long-term (Full-time).

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