Senior Python AI Engineer

As a Senior Python AI Engineer at our client's company, you will be responsible for leading the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. Your expertise in Python engineering and hands-on experience with LLM-based systems will be essential in taking ownership of end-to-end project delivery while collaborating with cross-functional stakeholders. Key Responsibilities: - Lead the design and development of Python-based AI systems, APIs, and microservices - Architect and build GenAI and agentic AI workflows using modern LLM frameworks - Own end-to-end delivery of AI projects from requirement gathering to production deployment - Design and implement LLM pipelines, prompt workflows, and agent orchestration systems - Ensure reliability, scalability, and security of AI solutions in production - Mentor junior engineers and provide technical leadership - Collaborate with clients to translate business needs into AI solutions - Drive adoption of latest GenAI tools, trends, and best practices Qualifications Required: - 8+ years of experience in Python development with scalable backend systems - Strong knowledge of frameworks like FastAPI, Flask, Pydantic, SQLAlchemy - Hands-on experience with LLMs and GenAI tools (OpenAI, Claude, Gemini, etc.) - Experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex - Expertise in designing multi-agent workflows, prompt pipelines, and tool integrations - Strong understanding of REST APIs, microservices, and cloud-native architectures - Experience with cloud platforms (AWS, Azure, or GCP) - Knowledge of MLOps / LLMOps, monitoring, evaluation, and deployment pipelines - Proficiency with Git, CI/CD, and production systems - Experience in leading teams and working with enterprise/global clients About YMinds.AI: YMinds.AI is a forward-thinking AI solutions company focused on building impactful, production-ready Generative AI systems for global clients. The organization emphasizes innovation, scalability, and real-world problem-solving, enabling businesses across industries to leverage AI for transformation and growth. As a Senior Python AI Engineer at our client's company, you will be responsible for leading the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients. Your expertise in Python engineering and hands-on experience with LLM-based systems will be essential in taking ownership of end-to-end project delivery while collaborating with cross-functional stakeholders. Key Responsibilities: - Lead the design and development of Python-based AI systems, APIs, and microservices - Architect and build GenAI and agentic AI workflows using modern LLM frameworks - Own end-to-end delivery of AI projects from requirement gathering to production deployment - Design and implement LLM pipelines, prompt workflows, and agent orchestration systems - Ensure reliability, scalability, and security of AI solutions in production - Mentor junior engineers and provide technical leadership - Collaborate with clients to translate business needs into AI solutions - Drive adoption of latest GenAI tools, trends, and best practices Qualifications Required: - 8+ years of experience in Python development with scalable backend systems - Strong knowledge of frameworks like FastAPI, Flask, Pydantic, SQLAlchemy - Hands-on experience with LLMs and GenAI tools (OpenAI, Claude, Gemini, etc.) - Experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex - Expertise in designing multi-agent workflows, prompt pipelines, and tool integrations - Strong understanding of REST APIs, microservices, and cloud-native architectures - Experience with cloud platforms (AWS, Azure, or GCP) - Knowledge of MLOps / LLMOps, monitoring, evaluation, and deployment pipelines - Proficiency with Git, CI/CD, and production systems - Experience in leading teams and working with enterprise/global clients About YMinds.AI: YMinds.AI is a forward-thinking AI solutions company focused on building impactful, production-ready Generative AI systems for global clients. The organization emphasizes innovation, scalability, and real-world problem-solving, enabling businesses across industries to leverage AI for transformation and growth.