Senior AI Engineer ML & Generative AI(Bangalore)

We are looking for a hands-on Senior AI Engineer with 1012 years of software engineering experience and strong expertise in Machine Learning and Generative AI. You will design, build, and deploy scalable, production-grade AI solutions using ML, LLMs, RAG, and agentic workflows, while collaborating with cross-functional teams to solve real business problems. Key Responsibilities Design and develop end-to-end AI/ML and GenAI solutions for production.Build data pipelines, ML models, LLM applications, APIs, and RAG-based systems.Deploy, optimize, and monitor AI applications with strong focus on scalability, reliability, security, and cost.Implement prompt engineering, guardrails, observability, and AI system controls.Collaborate with product, platform, and engineering teams on architecture and technical decisions.Mentor team members and drive engineering best practices.Required Skills 1012 years of software engineering experience with ML/AI expertise.Strong Python (preferred) or Java/Node.js backend development.Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).Hands-on experience with LLMs (OpenAI, Claude, Gemini, Llama), RAG, LangChain/LangGraph, and agentic workflows.Experience with REST/gRPC APIs, Docker, Kubernetes, CI/CD, and AWS/Azure/GCP.Strong understanding of distributed systems, observability, and production AI deployment.Intrested candidates share cv on hr@resolink.in Compensation: 150,000.00 - 2,500,000.00 per year Work Location: In person We are looking for a hands-on Senior AI Engineer with 1012 years of software engineering experience and strong expertise in Machine Learning and Generative AI. You will design, build, and deploy scalable, production-grade AI solutions using ML, LLMs, RAG, and agentic workflows, while collaborating with cross-functional teams to solve real business problems. Key Responsibilities Design and develop end-to-end AI/ML and GenAI solutions for production.Build data pipelines, ML models, LLM applications, APIs, and RAG-based systems.Deploy, optimize, and monitor AI applications with strong focus on scalability, reliability, security, and cost.Implement prompt engineering, guardrails, observability, and AI system controls.Collaborate with product, platform, and engineering teams on architecture and technical decisions.Mentor team members and drive engineering best practices.Required Skills 1012 years of software engineering experience with ML/AI expertise.Strong Python (preferred) or Java/Node.js backend development.Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).Hands-on experience with LLMs (OpenAI, Claude, Gemini, Llama), RAG, LangChain/LangGraph, and agentic workflows.Experience with REST/gRPC APIs, Docker, Kubernetes, CI/CD, and AWS/Azure/GCP.Strong understanding of distributed systems, observability, and production AI deployment.Intrested candidates share cv on hr@resolink.in Compensation: 150,000.00 - 2,500,000.00 per year Work Location: In person