Forward Deployed Engineer (FDE) Lead

Info Edge Limited; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Info Edge Limited is seeking a Lead Forward Deployed Engineer to work directly with enterprise clients. You will design and fine‑tune prompts, build integrations, and own end‑to‑end deployments in client environments.

The role demands strong Python skills, REST API knowledge, and robust communication with stakeholders. The position focuses on hands‑on engineering, prompt optimization, and delivering production‑grade solutions that fit real client workflows, with a practical, customer‑facing

Qualifications

• 3–5 years of professional software/solutions engineering or similar hands‑on role.
• Bachelor’s degree in Computer Science, Software Engineering, or related field or equivalent experience.
• Strong coding fundamentals with Python preferred; other languages (TypeScript/Java/JavaScript) a plus.

Responsibilities

• Design, fine‑tune prompts to match client use cases and data.
• Run structured prompt experiments to improve output quality.
• Build and maintain integrations between our platform and customer systems.
• Understand customer workflows and translate requirements into technical solutions.
• Own deployments end‑to‑end from discovery to production rollout.

Skills

Python

REST APIs

LLMs

Prompt engineering

Prompt experimentation

Integration development

Customer facing comms

Problem solving

Education

Bachelor's degree in CS/SE

Tools

REST APIs

Webhooks

Data pipelines

Cloud platforms (AWS/GCP/Azure)

Job description

Job Title: Lead Forward Deployed Engineer (FDE) Experience: 3- 5 years

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 experimentation—testing 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 environments—debugging 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 integrations—working 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.