Forward Deployed Engineer (FDE)

Byepo Technologies; Chennai District; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Byepo Technologies is seeking a Forward Deployed Engineer to operate at the intersection of software engineering, product strategy, and customer success. You will embed with clients to write, deploy, and scale production-grade code that delivers immediate business value.

You will collaborate with enterprise clients to understand their challenges, design custom integrations, and drive AI workloads using LLM APIs, vector databases, and retrieval-augmented generation frameworks.

Qualifications

• Education: Bachelor's degree in Computer Science, engineering, math, or equivalent practical experience.
• Engineering Power: 3+ years of professional software development experience in languages like Python, Go, Java, or TypeScript.
• Systems & Data: Strong proficiency in SQL, data modeling, API design (REST/gRPC), and cloud infrastructure (AWS, GCP, or Azure).
• Communication: Exceptional ability to explain highly technical concepts plainly to non-technical business leaders.
• Mobility: Willingness to travel to client sites as needed (typically 25-50%).

Responsibilities

• Ship Production Code: Design, build, and deploy custom integrations, APIs, and data pipelines directly within client environments.
• Own Client Architecture: Lead technical discovery, map out complex system architectures, and ensure seamless integration with client infrastructure.
• Scale AI Solutions: Implement practical AI workloads, including Large Language Model (LLMs) integrations, fine-tuning pipelines, and Retrieval-Augmented Generation (RAG) frameworks.
• Drive Product Roadmap: Act as the ultimate feedback loop. Identify recurring client pain points and collaborate with core R&D teams to turn custom client fixes into scalable platform features.
• Manage Technical Stakeholders: Serve as the trusted technical advisor to client CTOs, engineering leads, and business executives.

Skills

Python

Go

Java

TypeScript

SQL

API design

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

As a Forward Deployed Engineer (FDE), you will operate at the intersection of software engineering, product strategy, and customer success.

You will work directly with our most strategic enterprise clients to understand their deepest operational challenges and build custom, production-grade technical solutions using our platform.

You are not a consultant who leaves behind a slide deck; you are an elite generalist engineer who embeds with clients to write, deploy, and scale code that delivers immediate business value.

Requirements

Key Responsibilities:

• Ship Production Code: Design, build, and deploy custom integrations, APIs, and data pipelines directly within client environments.
  
• Own Client Architecture: Lead technical discovery, map out complex system architectures, and ensure seamless integration with client infrastructure.
  
• Scale AI Solutions: Implement practical AI workloads, including Large Language Model (LLMs) integrations, fine-tuning pipelines, and Retrieval-Augmented Generation (RAG) frameworks.
  
• Drive Product Roadmap: Act as the ultimate feedback loop. Identify recurring client pain points and collaborate with core R&D teams to turn custom client fixes into scalable platform features.
  
• Manage Technical Stakeholders: Serve as the trusted technical advisor to client CTOs, engineering leads, and business executives.
  

Minimum Qualifications:

• Education: Bachelor's degree in Computer Science, engineering, math, or equivalent practical experience.
  
• Engineering Power: 3+ years of professional software development experience in languages like Python, Go, Java, or TypeScript.
  
• Systems & Data: Strong proficiency in SQL, data modeling, API design (REST/gRPC), and cloud infrastructure (AWS, GCP, or Azure).
  
• Communication: Exceptional ability to explain highly technical concepts plainly to non-technical business leaders.
  
• Mobility: Willingness to travel to client sites as needed (typically 25-50%).
  

Preferred Qualifications:

• AI/ML Implementation: Hands-on experience building with LLM APIs, vector databases (e.g., Pinecone, Milvus), and orchestration frameworks (e.g., LangChain, Llama Index).
  
• Enterprise Savvy: Previous experience in a customer-facing engineering role (Solutions Architecture, Technical Consulting, or Forward Deployed Engineering).
  
• Infrastructure Fluency: Solid understanding of Docker, Kubernetes, CI/CD pipelines, and enterprise security frameworks.
  
• Adaptability: Proven track record of thriving in ambiguous environments and moving fast from 0 to 1.