About the Role
Our client is seeking a highly skilled AI Engineer to build and scale next-generation GenAI products powered by large language models, intelligent automation, and agentic AI systems. The ideal candidate will have hands-on experience with LLMs, RAG pipelines, embeddings, vector databases, and emerging multi-agent coordination protocols, contributing to cutting-edge AI platforms in a fast-paced environment.
Key Responsibilities
- Design, develop, and deploy LLM-powered features across AI platforms
- Implement prompt engineering, fine-tuning, embedding generation, and vector retrieval strategies
- Build and manage Retrieval-Augmented Generation (RAG) pipelines using public/private LLMs and vector databases
- Develop secure and scalable AI agent interfaces using multi-agent coordination protocols such as MCP
- Collaborate with product, infrastructure, and UI teams to deliver end-to-end AI features
- Write clean, maintainable, and scalable code using prompt-oriented or vibe coding frameworks
- Optimize LLM inference, vector search performance, and contextual memory systems
- Stay updated with advancements in open-weight models, AI orchestration, and inference optimization
Required Skills
- 3–4 years of software development experience using Python, Node.js, or modern backend technologies
- 1–2 years of hands-on experience building GenAI, LLM, or NLP-based applications
- Strong understanding of fine-tuning strategies such as LoRA, PEFT, and full-model tuning
- Experience with embedding models and vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS
- Solid understanding of RAG architecture and contextual memory management
- Familiarity with multi-agent systems and protocols like MCP (Multi-agent Communication Protocol)
- Experience with LangChain or prompt-oriented AI development frameworks
- Hands-on experience building APIs and microservices for AI workloads
- Strong understanding of AI/ML pipelines and data workflows
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field
Nice-to-Have Skills
- Experience with open-weight LLMs and inference optimization
- Exposure to AI governance, privacy-first AI systems, and secure AI infrastructure
- Familiarity with vibe coding environments and AI-assisted development workflows
- Experience working with scalable cloud-based AI infrastructure
- Knowledge of distributed systems and real-time inference pipelines
About YMinds.AI
YMinds.AI is a talent solutions and consulting firm that connects top-tier technology professionals with innovative organizations. We specialize in delivering curated talent solutions aligned with evolving business and technology needs.
Keywords
AI Engineer, GenAI, LLM, RAG, LangChain, Vector Databases, Pinecone, ChromaDB, MCP, Prompt Engineering, Fine-Tuning, Embeddings, NLP, Python, Node.js
Hashtags
#AIEngineer #GenerativeAI #LLM #RAG #LangChain #ArtificialIntelligence #MachineLearning #HiringNow #TechJobs #YMindsAI
