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.
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
- Robust 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
Positive-to-Have Skills
- Large Language Models
- TypeScript
- AWS
- Docker
- Go
- LLM APIs
📌 Forward Deployed Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.