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 Responsiblities
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 and 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.

Work arrangement
No