# Forward Deployed Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-05

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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**

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/98D2C3D432/apply)

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