Forward Deployed Engineer

**About the Role** We are looking for a Forward Deployed Engineer (FDE) who can work closely with clients to understand their business processes, design and build technology solutions, integrate enterprise systems, and take solutions into production. This is a hands-on engineering and client-facing role where you will own delivery end-to-end—from understanding business requirements and building the solution to deployment, troubleshooting, and continuous improvement. **Key Responsibilities** * Work closely with client teams to understand business processes, systems, data flows, and pain points. * Translate business requirements into scalable technical solutions and architecture. * Design, develop, test, and deploy production-grade software and AI-driven solutions. * Build rapid prototypes and POCs to validate business use cases. * Integrate enterprise systems including ERP, CRM, core platforms, legacy systems, databases, APIs, and event-streaming platforms. * Work with real-world data involving extraction, mapping, cleansing, transformation, and reconciliation. * Deploy solutions in cloud, private cloud, VPC, and on-premise environments. * Own go-live, hypercare, troubleshooting, monitoring, and production support. * Ensure enterprise requirements around security, access control, audit, and data privacy are met. * Conduct client workshops, technical discussions, solution demonstrations, and walkthroughs. * Collaborate with Product, Engineering, AI/ML, and Business teams to incorporate field learnings into reusable solutions. * Document integrations, configurations, deployment processes, and runbooks. **Must-Have Skills & Experience** * 6+ years of experience in software engineering, Forward Deployed Engineering, Solutions Engineering, or Integration Engineering with significant client-facing delivery experience. * Proven experience delivering complex multi-system integrations in production. * Strong programming experience in Python and TypeScript/Node.js or Java. * Strong understanding of REST/GraphQL APIs, microservices, SQL/NoSQL databases, ETL, data pipelines, data mapping, and data quality. * Experience with AWS, Azure, or GCP. * Hands-on experience with Docker, Git, and CI/CD. * Strong understanding of enterprise authentication and security concepts including OAuth 2.0, SAML, OIDC, RBAC, secrets management, and audit logging. * Working knowledge of LLM applications, LLM APIs, RAG, and AI agents, with the ability to integrate and deploy AI solutions in production. * Strong debugging and problem-solving skills across applications, APIs, networks, authentication, databases, and infrastructure. * Excellent communication skills with the ability to interact with CXOs, business users, IT/security teams, and engineers. * Comfortable working independently at client locations and travelling when required.