Generative AI Engineer (4+ Years of Experience)

Our client is looking for a highly skilled Generative AI Engineer (4+ years of experience) with strong expertise in LLM development, RAG architectures, vector databases, and scalable AI systems. You will play a key role in architecting, optimizing, and deploying enterprise-grade AI solutions across diverse business use cases.

This role is ideal for a senior professional who has built real-world AI systems, led technical initiatives, and can take ownership of end-to-end AI pipelines, system performance, and architectural decisions.

• Architect, design, and develop advanced Generative AI and LLM-powered applications (AI agents, copilots, automation systems, knowledge assistants, synthetic data systems, etc.).
• Design and scale complex RAG pipelines including embedding strategies, chunking optimization, hybrid retrieval, reranking layers, and context compression.
• Lead implementation and optimization of vector search systems using Pinecone, Weaviate, FAISS, Qdrant, or Chroma.
• Develop and integrate LLM-based systems into production-grade backend architectures using Python (FastAPI/Flask) or Node.js.
• Build evaluation frameworks to measure performance, reduce hallucinations, improve grounding, and ensure reliability.
• Lead model fine-tuning initiatives including parameter-efficient training (LoRA/QLoRA) and domain adaptation strategies.
• Design agentic AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
• Drive AI system deployment on AWS, GCP, or Azure with CI/CD, MLOps pipelines, monitoring, logging, and observability.
• Optimize inference latency, cost efficiency, and system scalability.
• Provide technical leadership, mentor AI engineers, and establish best practices for AI development.
• Collaborate with stakeholders to translate business challenges into robust AI architectures.
• Ensure compliance with security, governance, and responsible AI standards.

• 4+ years of professional experience in AI/ML, NLP, or backend engineering with significant hands-on experience in Generative AI and LLM-based systems.
• Strong expertise in Large Language Models (LLMs), transformers, embeddings, tokenization, and retrieval systems (Very Important).
• Advanced proficiency in Python and API development using FastAPI/Flask (Very Important).
• Deep experience designing and scaling Retrieval-Augmented Generation (RAG) systems end-to-end (Very Important).
• Strong hands-on expertise with vector databases (Very Important).
• Solid foundation in Machine Learning and Natural Language Processing (Important).
• Proven experience working with AI APIs (OpenAI, Anthropic, Gemini, HuggingFace, Cohere, etc.).
• Strong understanding of prompt engineering, context management, and evaluation methodologies.
• Experience with Docker (Important) and cloud-native deployments.
• Strong knowledge of MLOps practices including CI/CD, model versioning, monitoring, and observability (Important).
• Experience designing scalable backend architectures and distributed systems.

• Experience with multimodal AI models (vision-language, audio, video systems).
• Expertise in agent-based AI frameworks (LangGraph, CrewAI, AutoGen).
• Knowledge of advanced retrieval optimization techniques (hybrid search, colBERT, late interaction models).
• Familiarity with Kubernetes and container orchestration.
• Experience building enterprise-grade AI assistants or internal AI platforms.
• Understanding of AI governance, PII handling, and compliance frameworks.
• Experience implementing caching layers, streaming architectures, and asynchronous processing systems.
• Background in performance tuning and cost optimization for large-scale AI systems.

• Strong architectural thinking and systems design capability.
• Strategic problem-solving mindset with a product-oriented approach.
• Ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Strong leadership and mentorship capability.
• Ownership mindset with accountability for large-scale deliverables.
• Ability to operate effectively in fast-paced, innovation-driven environments.
• Continuous learner staying updated with cutting-edge AI advancements.

YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with cutting-edge AI expertise. We support global enterprises and fast-growing startups by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of AI innovation, and we enable their success by providing exceptional talent that accelerates product development and drives technological advancement.

Generative AI, LLM Architecture, RAG Systems, Vector Databases, Python, FastAPI, LangChain, LangGraph, LlamaIndex, CrewAI, AI Agents, Prompt Engineering, Fine-Tuning, LoRA, QLoRA, Machine Learning, NLP, MLOps, Docker, Cloud Computing, Scalable AI Systems, Enterprise AI.

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