AI Engineer (GenAI/Hyperscaler/Agentic AI) | 3+ Years | Remote | Immediate Joiners Only

About the Role

Our client is seeking a skilled AI Engineer with strong experience in Generative AI, Hyperscaler AI services, and Agentic AI systems. The ideal candidate will have hands-on expertise in building LLM-based use cases, backend AI integrations, and deploying scalable AI solutions on AWS and Azure platforms.

Key Responsibilities

• Design and develop GenAI and Agentic AI solutions using modern LLM frameworks
• Build and implement real-world use cases leveraging LLMs such as Anthropic Claude, Google Gemini, AWS Nova, and Meta Llama
• Develop backend tools and services to support AI-driven applications
• Work with AWS Bedrock and SageMaker for model deployment, orchestration, and optimization
• Utilize Azure AI Foundry services for AI solution development on Azure
• Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and embeddings
• Perform fine-tuning and optimization of foundation models
• Manage token usage, prompt engineering, and context optimization for LLM applications
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Ensure scalability, performance, and security of AI systems in production environments

Required Skills

• 2+ years of software/AI engineering experience with GenAI/LLM space
• Strong hands-on experience with MCP, Agentic AI concepts, and LLM application development
• Experience with AWS AI stack: Bedrock, SageMaker
• Experience with Azure AI Foundry or equivalent Azure AI services
• Practical exposure to LLMs: Anthropic Claude, Google Gemini, AWS Nova, Meta Llama
• Solid understanding of Vector Databases, embeddings, token management, and RAG architectures
• Experience in fine-tuning foundation models
• Proficiency in Python and backend development
• Familiarity with REST APIs, microservices, and cloud-native architectures
• Good understanding of MLOps and CI/CD for AI workloads
• Must possess an innovative mindset with a proactive problem-solving approach

Nice-to-Have Skills

• Experience building production-grade GenAI applications
• Knowledge of prompt engineering and evaluation frameworks
• Exposure to multi-agent or autonomous AI systems
• Experience with Kubernetes/Docker is a plus
• Strong problem-solving and communication skills

About YMinds.AI

YMinds.AI is a leading talent solutions provider, specializing in sourcing and delivering top-tier professionals in the AI, data, and enterprise technology sectors. We collaborate with forward-thinking organizations and cutting-edge technology companies to build high-performing teams that drive successful product development and exceptional customer results. Our commitment lies in connecting businesses with experts who thrive in high-stakes environments, ensuring seamless execution and innovative solutions to complex, large-scale technology projects.

Keywords

Generative AI, LLM, Agentic AI, AWS Bedrock, AWS SageMaker, Azure AI Foundry, RAG, Vector Databases, Embeddings, Fine-tuning, Python, REST APIs, Microservices, MLOps, CI/CD, Prompt Engineering, MCP

Hashtags

#AIEngineer #GenerativeAI #LLM #AgenticAI #AWS #AzureAI #SageMaker #Bedrock #RAG #Python #MLOps #CloudAI #TechJobs