Generative AI Engineer

Job Title: Generative AI Engineer

Job Type:

Experience Level:

Company Overview:

Yavar is an enterprise AI company delivering service-as-a-software with pre-built agentic platforms. We help organizations reinvent workflows, automate complex use cases, and achieve clarity with data—while ensuring privacy, security, and verifiability. We’re looking for an AI Engineer to build and scale next-gen GenAI products that blend large language models, real-time inference, and intelligent automation.

Who Should Apply:

maximum of 3-4 years of software development experience

Role Summary:

As an AI Engineer at Yavar, you’ll be at the heart of building high-performance, scalable GenAI applications. You’ll work with LLMs (open and private), design fine-tuning pipelines, optimize vector search performance, and build secure agentic interfaces powered by emerging multi-agent coordination protocols (MCP).

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 Us?

• 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.

How to Apply: