Forward Deployed Engineer (Trainer)

About Us:
GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is an Edu-Tech incubated by IIT-Madras, IIM-Ahmedabad, and Partnered with Google for Education. What sets us apart is the fact that we offer online learning in a plethora of different vernacular languages along with English. With more than 18+ lakh users Currently learning from our platform, GUVI continues to grow at a tremendous rate. For more information about us, visit www.guvi.in.
Type: Part-Time Location: Remote Experience: 5+ years of engineering experience (Minimum 2+ years strictly as a Forward Deployed Engineer / Customer-Facing Production Engineer)
About the Role :
We are seeking an experienced Forward Deployed Engineer (FDE) to act as a Part-Time Course Mentor/Instructor. In this role, you won't just teach theory—you will bridge the gap between building software and making software work in complex enterprise environments. You will mentor aspiring engineers, review client-style capstone projects, host live Q&A/debugging sessions, and ensure our students develop the production-first mindset required at companies like Palantir, scale-up AI startups, and top tech consultancies.
Key Responsibilities
● Lead 2–3 hours of live sessions and Q&A
● Evaluate students’ production code, API integrations, data pipeline architectures, and low-code/no-code AI agent workflows.
● Help design realistic "client-style" scenarios, dealing with messy data, changing requirements, and enterprise integration constraints.
● Provide actionable career coaching, mock technical interviews, and guidance on how to position FDE skills on resumes.
Key Requirements
● 5+ Years Total Engineering Experience: Strong software engineering foundation in Python, TypeScript/JavaScript, or Go.
● Forward Deployed Experience: Proven track record working directly with clients/enterprise stakeholders to deploy, integrate, and operationalize custom solutions in production.
● Enterprise & Cloud Stack: Experience with modern data pipelines, cloud deployment (AWS/GCP/Azure), containerization (Docker/Kubernetes), microservices, and API orchestration.
● AI & Agentic Workflows: Hands-on experience with LLM orchestration (LangChain, LlamaIndex), RAG architectures, and low-code/no-code agent tooling (e.g., n8n, Flowise, Make, Dify, AutoGen).
● Communication & Empathy: Ability to explain complex architecture choices, debug messy client environments live, and give constructive code feedback.
● Enjoys teaching, pairing, and mentoring junior/mid-level developers.

Work arrangement
Yes