Generative AI Engineer

Job description

Forward Deployment Engineer (Architect) – Python + TypeScript | JD Summary - Looking for a **Forward Deployment Engineer / Solution Architect** with **12+ years of experience** in software engineering, enterprise architecture, and AI solution deployment. - Strong expertise in **Python** and **TypeScript** for building production-grade applications, automation workflows, orchestration layers, and developer tools. - Hands-on experience with **Claude AI** , **LLMs** , **Prompt Engineering** , **Context Engineering** , **RAG (Retrieval-Augmented Generation)** , and **Multi-Agent Systems** . - Experience with **Devin** or AI-assisted software engineering platforms is highly preferred. - Design and deploy enterprise-grade AI solutions leveraging Claude, Devin, and agentic frameworks. - Architect scalable solutions involving **Microservices** , **Event-Driven Architecture** , **Distributed Systems** , and **Backend Services** . - Build and integrate **REST APIs** , **GraphQL APIs** , asynchronous workflows, caching, and scalable architectures. - Define best practices for **Prompt Design** , Tool Calling, Function Calling, Agent Memory, and Human-in-the-Loop workflows. - Develop reusable AI deployment frameworks, reference architectures, and implementation standards. - Integrate AI capabilities into **CI/CD pipelines** , engineering platforms, developer workflows, and enterprise applications. - Strong experience with **Azure, AWS, or GCP** cloud platforms. - Hands-on experience with **Containerization** , Infrastructure Automation, DevSecOps, and Secure Deployments. - Experience with **Vector Databases** , Embeddings, Semantic Search, and Enterprise Knowledge Systems. - Design and optimize **RAG pipelines** and enterprise retrieval systems. - Strong understanding of **Observability** , Monitoring, Logging, Tracing, and AI Operations. - Experience implementing governance, auditability, security controls, and compliance requirements for enterprise AI solutions. - Work directly with enterprise customers to gather requirements and design AI-driven business solutions. - Lead architecture discussions, workshops, and stakeholder engagements. - Provide technical leadership, mentor engineering teams, and establish architecture standards. - Drive productionization of AI solutions focusing on scalability, reliability, security, and performance. - Experience working in regulated enterprise environments with strict security and compliance requirements. - Strong communication and consulting skills with customer-facing experience. - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Cloud, Architecture, or AI certifications are a plus. Must-Have Skills **Python, TypeScript, Claude AI, Prompt Engineering, Context Engineering, RAG, Multi-Agent Systems, Tool Calling, Enterprise AI Deployment, Microservices, Distributed Systems, REST APIs, Azure/AWS/GCP, CI/CD, Vector Databases, Semantic Search, Solution Architecture, Technical Leadership.**