Forward Deployed Engineer
Job Summary
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-endfrom understanding business requirements and building the solution to deployment troubleshooting and continuous improvement.
- 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.
- 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/ 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.
Required Skills:
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