Job Description
Key Responsibilities
- Design, develop, and deploy LLM-powered features across Yavar's AI platforms.
- Implement prompt engineering, fine-tuning, embedding generation, and vector-based retrieval strategies.
- Build and manage RAG pipelines using public/private LLMs, vector DBs, and contextual memory.
- Integrate multi-agent coordination using protocols like MCP (Multi-agent Communication Protocol).
- Collaborate with product, infra, and UI teams to ship end-to-end AI features at scale.
- Write clean, maintainable code using vibe coding frameworks or equivalent prompt-based dev setups.
- Stay up to date with the latest in LLM optimization, open-weight models, and inference tuning.
- 3–4 years of experience in software development (Python, Node.js, or similar modern stacks).
- 1–2 years of hands-on experience in GenAI, LLMs, or NLP-based ap...
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