AI Technical Leader/Architect

As a Lead Developer for customer-facing AI applications, your role will involve leading the end-to-end development process. Here's a summary of the key responsibilities, preferred qualifications, and additional details: **Role Overview:** - Lead the end-to-end development of customer-facing AI applications, from architecture design to production deployment. - Work on recent product development to enhance customer experience. - Enable AI capabilities for existing products. - Focus on performance, security, and governance of AI applications. **Key Responsibilities:** - Possess 6+ years of experience in software architecture, with at least 2 years in deploying production AI/ML systems. - Demonstrate a proven track record in deploying agentic AI solutions at scale. - Deep expertise in the .NET ecosystem and contemporary frontend frameworks. - Maintain a security-first mindset when developing enterprise applications. - Experience in prompt engineering, model fine-tuning, and AI observability. - Proficiency in function calling, semantic search, streaming responses, and AI cost optimization. - Familiarity with AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks. - Knowledge of LLM Integration with OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock. - Backend development skills in .NET Core (C#), Python, RESTful APIs, and microservices architecture. - Frontend development expertise in Angular, TypeScript, and real-time UI for AI interactions. - Understanding of Vector DBs like Pinecone, Weaviate, ChromaDB, or Qdrant. - Experience with Cloud & DevOps technologies including Azure/AWS, Docker, Kubernetes, and CI/CD pipelines. - Ensure security measures like OAuth 2.0, API security, data encryption, and compliance with standards like SOC2, GDPR. - Proficiency in orchestration with multi-agent workflows, tool calling, and RAG (Retrieval-Augmented Generation). Please note that this job description does not include any additional details about the company. As a Lead Developer for customer-facing AI applications, your role will involve leading the end-to-end development process. Here's a summary of the key responsibilities, preferred qualifications, and additional details: **Role Overview:** - Lead the end-to-end development of customer-facing AI applications, from architecture design to production deployment. - Work on recent product development to enhance customer experience. - Enable AI capabilities for existing products. - Focus on performance, security, and governance of AI applications. **Key Responsibilities:** - Possess 6+ years of experience in software architecture, with at least 2 years in deploying production AI/ML systems. - Demonstrate a proven track record in deploying agentic AI solutions at scale. - Deep expertise in the .NET ecosystem and contemporary frontend frameworks. - Maintain a security-first mindset when developing enterprise applications. - Experience in prompt engineering, model fine-tuning, and AI observability. - Proficiency in function calling, semantic search, streaming responses, and AI cost optimization. - Familiarity with AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agentic frameworks. - Knowledge of LLM Integration with OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock. - Backend development skills in .NET Core (C#), Python, RESTful APIs, and microservices architecture. - Frontend development expertise in Angular, TypeScript, and real-time UI for AI interactions. - Understanding of Vector DBs like Pinecone, Weaviate, ChromaDB, or Qdrant. - Experience with Cloud & DevOps technologies including Azure/AWS, Docker, Kubernetes, and CI/CD pipelines. - Ensure security measures like OAuth 2.0, API security, data encryption, and compliance with standards like SOC2, GDPR. - Proficiency in orchestration with multi-agent workflows, tool calling, and RAG (Retrieval-Augmented Generation). Please note that this job description does not include any additional details about the company.