Generative AI Engineer

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.