Forward Deployed Engineer

This role is for one of Weekday’s clients

Min Experience: 2+ years

Location: Bengaluru

JobType: full-time

We are looking for a Forward Deployed Engineer to own the end-to-end delivery of production-grade voice AI deployments. This role combines customer discovery, technical solution design, hands-on engineering, deployment, and ongoing optimization.

The ideal candidate should be highly comfortable working directly with customers, translating business workflows into technical solutions, and building reliable integrations in fast-moving production environments.

Requirements

Key Responsibilities

• Lead customer discovery and workflow mapping to understand business requirements and operational processes.

• Design and implement technical solutions for production voice AI deployments.

• Build and maintain API integrations with customer systems and third-party services.

• Develop simulations and prototypes to validate workflows and solution performance.

• Manage deployments from initial implementation through production launch.

• Monitor production systems, troubleshoot issues, and optimize performance and reliability.

• Work closely with customers and internal teams to resolve technical challenges and ensure successful adoption.

• Own technical handoff and documentation once deployments are operational.

• Build scalable integrations and automation using Python and modern API technologies.

• Collaborate across engineering, product, and customer-facing teams to continuously improve deployed solutions.

Required Skills & Qualifications

• Strong proficiency in Python and API engineering.

• Hands-on experience building and integrating REST APIs.

• Strong experience with FastAPI or similar Python web frameworks.

• Experience working directly with customers or business stakeholders on technical implementations.

• Ability to translate business workflows and requirements into production-ready technical solutions.

• Strong troubleshooting and problem-solving capabilities.

Good-to-Have Skills

• Experience working with Large Language Models (LLMs) and LLM APIs.

• Familiarity with structured outputs and function/tool calling.

• Working knowledge of TypeScript.

• Ability to read, understand, or make minor changes to Go code.

• Experience with Docker and containerized deployments.

• Exposure to AWS or other cloud infrastructure.

• Experience with voice AI, conversational AI, or AI-powered workflow automation.

Ideal Candidate

The ideal candidate is a hands-on engineer who thrives in customer-facing environments and enjoys solving ambiguous, real-world technical problems. You should be comfortable moving from discovery and workflow design to coding, integrations, deployment, monitoring, and production handoff.

Must-Have Skills

• Python

• REST API

• FastAPI

• API Engineering

Good-to-Have Skills

• Large Language Models

• TypeScript

• AWS

• Docker

• Go

• LLM APIs