Generative AI Engineer

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.

Must-Have Qualifications:

• 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 applications.

• Strong understanding of fine-tuning strategies (LoRA, PEFT, full model).

• Experience with embedding models, vector databases (Pinecone, ChromaDB, Weaviate, FAISS, or similar).

• Solid grasp of Retrieval-Augmented Generation (RAG) architecture and memory management.

• Familiarity with multi-agent systems and emerging protocols like MCP.

• Exposure to vibe coding, prompt-oriented frameworks, or LangChain-based development.

• Experience in building APIs and microservices for AI workloads.

• Bachelor's or Master’s degree in Computer Science, AI/ML, or equivalent.

Key Attributes:

• Builder’s mindset with deep curiosity for LLM behavior and tuning.

• Pragmatic problem solver with clean coding habits.

• Strong understanding of AI/ML pipelines and data flows.

• Effective communicator who can explain model behavior and limitations.

• Comfortable in fast-paced, iterative product environments.

• Always learning and experimenting with new models and techniques.

Why Join Yavar:

• Shape the future of AI products used across industries.

• Build on cutting-edge infrastructure in a secure, privacy-first AI stack.

• Collaborate with exceptional teams across AI, product, and design.

• Lead innovations in AI agent design, multi-agent protocols, and GenAI governance.

  • Grow with a fast-scaling company embracing deep-tech and creative engineering.