Senior AI Engineer

As a Senior AI Engineer / AI Solutions Architect, you will play a crucial role in designing and delivering next-generation AI-powered SaaS products that solve real-world enterprise problems across procurement, operations, and intelligent automation. You will lead the technical design and deployment of scalable AI solutions, focusing on building production-grade AI systems and shaping AI strategy alongside product and leadership teams. **Key Responsibilities:** - Architect and develop AI-driven SaaS capabilities from concept to production. - Design scalable AI pipelines using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic workflows, and tool-using systems. - Translate business requirements into robust AI system architectures. - Own end-to-end AI feature delivery including engineering, model evaluation, performance optimization, deployment, and monitoring. - Build enterprise applications powered by modern foundation models. - Design advanced prompting strategies and multi-turn conversational systems. - Develop agent-based workflows integrating APIs, tools, and enterprise data. - Establish best practices for responsible, secure, and scalable AI usage. - Design and operate cloud-native AI systems on AWS, including SageMaker, Bedrock, Lambda, ECS/EKS, and API Gateway. - Build scalable inference and data pipelines. - Serve as a technical leader and mentor to AI and engineering teams. - Collaborate with product, sales, and customer teams to define AI solutions. - Contribute to architectural standards, documentation, and best practices. **Qualifications Required:** - 7+ years in software engineering, AI/ML engineering, or solutions architecture. - Proven experience shipping production AI or LLM-powered applications. - Strong Python expertise. - Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face (or similar ecosystems). - Strong understanding of cloud-native architectures (AWS preferred). - Experience designing APIs and microservices. - Ability to communicate complex technical ideas clearly to both technical and business stakeholders. - Comfortable working in fast-paced startup environments. The company offers a competitive salary, the opportunity to shape core AI architecture and product direction, access to cutting-edge AI models and infrastructure, a remote-first collaborative engineering culture, learning and professional development support, and a high ownership, low bureaucracy environment. As a Senior AI Engineer / AI Solutions Architect, you will play a crucial role in designing and delivering next-generation AI-powered SaaS products that solve real-world enterprise problems across procurement, operations, and intelligent automation. You will lead the technical design and deployment of scalable AI solutions, focusing on building production-grade AI systems and shaping AI strategy alongside product and leadership teams. **Key Responsibilities:** - Architect and develop AI-driven SaaS capabilities from concept to production. - Design scalable AI pipelines using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic workflows, and tool-using systems. - Translate business requirements into robust AI system architectures. - Own end-to-end AI feature delivery including engineering, model evaluation, performance optimization, deployment, and monitoring. - Build enterprise applications powered by modern foundation models. - Design advanced prompting strategies and multi-turn conversational systems. - Develop agent-based workflows integrating APIs, tools, and enterprise data. - Establish best practices for responsible, secure, and scalable AI usage. - Design and operate cloud-native AI systems on AWS, including SageMaker, Bedrock, Lambda, ECS/EKS, and API Gateway. - Build scalable inference and data pipelines. - Serve as a technical leader and mentor to AI and engineering teams. - Collaborate with product, sales, and customer teams to define AI solutions. - Contribute to architectural standards, documentation, and best practices. **Qualifications Required:** - 7+ years in software engineering, AI/ML engineering, or solutions architecture. - Proven experience shipping production AI or LLM-powered applications. - Strong Python expertise. - Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face (or similar ecosystems). - Strong understanding of cloud-native architectures (AWS preferred). - Experience designing APIs and microservices. - Ability to communicate complex technical ideas clearly to both technical and business stakeholders. - Comfortable working in fast-paced startup environments. The company offers a competitive salary, the opportunity to shape core AI architecture and product direction, access to cutting-edge AI models and infrastructure, a remote-first collaborative engineering culture, learning and professional development support, and a high ownership, low bureaucracy environment.