What does a Forward Deployed Engineer do at Ashra Technologies Pvt Ltd?

Forward Deployed Engineers at Ashra Technologies Pvt Ltd are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer role?

The Forward Deployed Engineer role at Ashra Technologies Pvt Ltd typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Ashra Technologies Pvt Ltd remote?

Remote availability varies by Ashra Technologies Pvt Ltd FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Ashra Technologies Pvt Ltd

Forward Deployed Engineer

$86K - $104K Nashville, TN, US Mid Posted August 03, 2026

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Role Description

Greetings from Ashra Technologies

We are hiring...

Position: Forward Deployed Engineer

Location: Nashville TN, US

About the Role

We are seeking Forward Deployed Engineer (FDE) to join our Emerging Tech team and drive cutting-edge innovation initiatives. This role sits at the intersection of engineering, product, and client delivery, where you will build and deploy high-impact solutions in fast-paced, ambiguous environments.

As an FDE, you will take full ownership of delivering solutions end-to-end—from architecture and development to testing and deployment—while working closely with stakeholders to rapidly bring ideas to life.

This is an ideal opportunity for engineers who thrive in hands-on, high-ownership roles and enjoy solving complex problems with modern technologies, including AI-driven systems.

Key Responsibilities

Assist in the design, build, and deploy full-stack applications with a strong emphasis on backend systems
Develop scalable services and APIs using Java and cloud-native architectures on GCP
Build and integrate AI-powered solutions leveraging Vertex AI and agentic AI frameworks
Own the entire software development lifecycle including development, testing (QA), deployment, and production support
Collaborate with cross-functional teams and stakeholders to rapidly prototype and deliver solutions
Operate in forward-deployed environments, working closely with end users or clients to refine and iterate solutions
Troubleshoot and resolve issues in real time, ensuring high-quality delivery under tight timelines

Required Qualifications

Full-stack development experience with a backend-heavy focus
Proficiency in Java and hands-on experience with Google Cloud Platform (GCP)
Experience building or integrating solutions using Vertex AI and/or agentic AI systems
Proven ability to deliver end-to-end solutions independently (development, QA, deployment)
Experience working in fast-paced, ambiguous environments with minimal guidance
Strong problem-solving skills and ability to quickly ramp up on new technologies

Nice-to-Have Skills

Experience with Capacitor or other cross-platform/mobile development frameworks
Familiarity with modern frontend frameworks (React, Angular, etc.)
Exposure to microservices architecture and containerization (Docker, Kubernetes)

Interested can share cv at: [email protected]/8688322631

Pay: $86,162.07 - $103,765.07 per year

Experience:

Forward Deployed Engineer: 3 years (Preferred)

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.