Forward Deployed Engineer(FDE)

Info Edge; Dadri; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Info Edge is hiring a Forward Deployed Engineer in Dadri, India. You'll collaborate with enterprise customers to tailor our platform to their specific needs. This proactive role requires designing and enhancing prompts and creating integrations that connect our solutions with existing customer systems.

The ideal candidate has 3-5 years of software engineering experience, preferably with expertise in Python and REST APIs. Excellent communication skills and a customer-first approach are essential for success in this role.

Qualifications

• 3-5 years of professional experience in a software engineering role.
• Proficiency in coding with a focus on Python.
• Experience with integrations and working with REST APIs.

Responsibilities

• Design and fine-tune prompts for client-specific use cases.
• Build and maintain integrations with customer systems.
• Troubleshoot issues in live customer environments.

Skills

Python

REST APIs

Prompt Engineering

JavaScript

Education

Bachelor's degree in Computer Science

Tools

AWS

GCP

Azure

Job description

Forward Deployed Engineer (FDE)

About the Role

We're looking for a Forward Deployed Engineer to work directly with our enterprise customers, to make our platform work for their specific use cases. This is a hands‑on, customer‑facing role centered on two things: crafting and fine‑tuning prompts so our AI/enterprise offering perform reliably against real client workflows, and building the integrations that connect our platform into the customer's existing systems. You'll own deployments end‑to‑end from understanding the customer's problem to a working, production‑grade solution running in their environment.

What You'll Do

• Design, fine‑tune, and iterate on prompts to adapt our enterprise offering to each client's specific use cases, data, and quality bar.
• Run structured prompt experimentationtesting variations, measuring output quality, and systematically improving accuracy and reliability for the customer's scenarios.
• Build and maintain integrations between our platform and customer systems (APIs, webhooks, data pipelines, internal tools, and third‑party services).
• Embed with customer teams to understand their workflows and constraints, then translate ambiguous requirements into concrete technical solutions.
• Own deployments end‑to‑end: discovery, solution design, prompt engineering, integration build, testing, and production rollout.
• Troubleshoot issues in live customer environmentsdebugging integrations, refining prompts that underperform, and resolving data or workflow mismatches.
• Present solutions and progress clearly to both technical and non‑technical stakeholders, and document your work for repeatability.

What We're Looking For

• 3-5 years of professional experience in software engineering, solutions engineering, or a comparable hands‑on technical role.
• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• Strong coding fundamentals with the ability to write clean, reliable code quickly. Proficiency in Python is strongly preferred; a secondary language (e.g., TypeScript/JavaScript or Java) is a plus.
• Hands‑on experience building integrationsworking with REST APIs, authentication flows, webhooks, and data exchange between systems.
• Practical experience with prompt engineering and LLMs—an understanding of how to structure prompts, control outputs, and systematically improve performance for a given task. (Direct experience with prompting frameworks or LLM APIs is a strong plus.)
• Excellent customer‑facing communication skills—able to explain technical concepts clearly and build trust with stakeholders.
• A logical, experimental, and resourceful approach to problem‑solving, with the autonomy to drive solutions in ambiguous, fast‑changing environments.

Nice to Have

• Experience deploying or integrating LLM/AI features into production use cases.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment tooling.
• Exposure to enterprise or regulated customer environments.
• Prior client‑facing, consulting, or professional services experience.
• Experience with evaluation/testing approaches for AI outputs (eval sets, scoring, regression checks).

What You Bring

The two traits we can't train: genuine customer empathy and the drive to execute and ship solutions independently. You're equally comfortable tweaking a prompt until the output is exactly right and writing the integration code that gets our platform talking to a customer's stack. If you enjoy solving puzzles inside messy, high‑stakes environments and want your work to have direct, visible business impact, this role is for you.