Forward Deployed Engineer (Voice AI / Telephony) - Mumbai
Blue Machines (company site, opens in a new tab)4–6 yrsMumbaiOn-siteDirect career pageEst. 16–30 LPA
Posted 12h ago
Reach people at Blue Machines
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Blue Machines you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and optimize end-to-end production voice AI agents including conversation design and tool-calling logic.
- Develop scalable backend integrations connecting AI platform with client enterprise systems via APIs, WebSockets, and webhooks.
- Lead client technical workshops, manage expectations, and handle root-cause analysis for system and agent performance issues.
Minimum Requirements
- 4-6 years of software development experience, with at least 2+ years shipping live LLM/AI applications (agents, RAG, or chatbots); voice AI experience a plus.
- Proficiency in Python or Java for backend development and integration.
- Hands-on experience with cloud platforms (preferably GCP), APIs, WebSockets, and authentication protocols (OAuth2, JWT).
- Strong client communication skills and willingness to travel for onsite client workshops and deployment reviews.
Ideal Candidate Profile
- Experienced in end-to-end AI agent architecture and production deployment in client environments with ownership of delivery and performance.
- Technically adept at backend integration and AI orchestration, able to navigate complex enterprise systems and AI frameworks like LangChain and OpenAI APIs.
- Comfortable leading technical discussions with clients and able to independently analyze data and system logs for optimization and troubleshooting.