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Ashra Technology

Forward Deployed Engineer

$76K - $91K Miami, FL, US Mid Posted August 09, 2026

Role Description

Greeting from the day

we are hiring

Role: Forward Deployed Engineer

Location: US

Exp: 5+years

  • Develop and deploy full-stack applications with a strong focus on backend development using Java.
  • Design scalable APIs and cloud-native solutions on Google Cloud Platform (GCP).
  • Build and integrate AI-powered applications using Vertex AI and agentic AI frameworks.
  • Own the complete software development lifecycle, including development, testing, deployment, and production support.
  • Collaborate with product teams, clients, and stakeholders to rapidly prototype and deliver innovative solutions.
  • Troubleshoot production issues and optimize application performance in fast-paced environments.
  • Work with modern technologies such as React/Angular, Docker, Kubernetes, and microservices architecture.
  • Deliver high-quality, end-to-end solutions independently while adapting quickly to evolving business requirements.

Interested share your resume to [email protected]/8688322632

Pay: $75,587.55 - $91,030.16 per year

Work Location: In person

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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