Key skills
PythonAIMachine LearningNatural Language ProcessingLangChainLangGraphNode.jsAWSAzureGCPKubernetesProblem Solving
About this role
Future Secure AI is a pioneering company focused on building innovative AI solutions for global enterprises. The Senior AI Engineer will lead customer engagements, develop AI products, and ensure the integration of new features while maintaining high compliance standards.
Responsibilities:
- Enable enterprise customers to deploy a diverse and dynamic range of AI agents from multiple third-party platforms (including models, LLMs, micro-services and even orchestration layers) through their own secure and scalable platform
- Develop innovative AI products for reputable global clients, focusing on Node.js, and integrating AI with use of LangChain, LangGraph, Flowise
- Discover and incorporate new partnerships, products, and technologies, including cutting-edge LLMs and AI models, from both established and emerging vendors
- Design and implement algorithms specifically for AI agents, utilizing your Node.js expertise and understanding of AI frameworks
- Strategize on the seamless integration of new features and APIs across various platforms in large-scale enterprise environments, leveraging your Node.js and potential Python skills
- Exhibit a deep commitment to understanding user needs and meticulous attention to detail, ensuring our solutions not only meet but exceed user expectations
- Uphold and exceed enterprise-grade compliance standards, such as SOC2, ensuring our products are secure and reliable
Requirements:
- At least 7 years of software development experience
- Strong background in Node.js development
- Strong background in LangChain, AI Agent frameworks, and ability to apply these advanced AI solutions
- Strong experience in building secure, scalable APIs
- Strong understanding of cloud environments (Azure, AWS, GCP)
- Impressive problem solving / analytical skills
- Impeccable attention to detail and integrity in your work ethic
- Knowledge of AI concepts including natural language processing, machine learning, and neural networks
- Experience with orchestration applications like Flowise
- Proficiency in CICD, Kubernetes and containerization technologies