UpTye
Company:
https://www.linkedin.com/company/uptye
Seniority: Entry level
Industries: Business Consulting and Services
Job details:
Role Overview
- We are looking for a high-ownership Forward Deployed Engineer to deploy and integrate Voice AI solutions within enterprise call center environments.
- This is a hands-on, highly client-facing engineering role. You will participate directly in client discussions, understand technical and business requirements, translate them into practical integration plans, and independently drive deployments into production.
- The role is suited to someone who is comfortable working in a fast-moving startup environment where systems, requirements, and priorities may evolve quickly. You should be able to understand unfamiliar repositories and infrastructure, identify the appropriate internal stakeholders, ask relevant questions, communicate blockers promptly, and begin contributing effectively within a short period.
- The successful candidate should demonstrate strong adaptability, independent execution, proactive communication, and the ability to collaborate effectively with both enterprise clients and internal engineering teams.
Key Responsibilities
- Deploy and configure Voice AI systems for customer support, IVR, inbound calling, and outbound calling use cases.
- Participate directly in enterprise client calls to understand operational and technical requirements.
- Translate technical concepts, system limitations, and integration requirements into clear language for clients and non-technical stakeholders.
- Independently convert client requirements into technical workflows, integration plans, and production deployments.
- Integrate Voice AI solutions with call center platforms such as Avaya, Vocalcom, Genesys, Five9, Twilio, Amazon Connect, or similar systems.
- Work with SIP trunking, call routing, session handling, IVR flows, transfers, and call handoffs.
- Build and manage API, webhook, CRM, and backend-system integrations.
- Review unfamiliar repositories, infrastructure, and existing workflows to quickly understand the end-to-end system architecture.
- Create clear architecture diagrams, call-flow diagrams, integration documentation, and technical implementation plans.
- Identify the appropriate internal stakeholders and collaborate with engineering, product, and customer-facing teams.
- Raise questions, dependencies, and blockers promptly rather than waiting for detailed instructions.
- Troubleshoot production issues involving latency, call failures, routing problems, integrations, and system reliability.
- Monitor and improve the scalability, reliability, and cost of live Voice AI systems.
- Take ownership of assigned deployments from requirement gathering through production implementation and post-deployment support.
Required Skills and Experience
- 3–7 years of experience in backend, full-stack, solutions engineering, implementation engineering, or forward deployed engineering.
- Strong proficiency in Node.js or Python.
- Hands-on experience with APIs, webhooks, backend integrations, and distributed systems.
- Experience with telephony systems, voice platforms, or enterprise call center environments.
- Practical understanding of SIP, IVR, call routing, call transfers, session handling, or SIP trunking.
- Experience integrating CRMs, enterprise platforms, or third-party systems.
- Experience troubleshooting real-time or low-latency systems in production.
- Strong client-facing communication and requirement-gathering skills.
- Ability to explain complex technical concepts clearly to non-technical stakeholders.
- Ability to understand an unfamiliar codebase and infrastructure within a short period.
- Experience working independently with limited supervision or handholding.
- Experience in a fast-paced startup, early-stage technology company, or similarly high-ownership environment.
- Strong written communication and documentation skills.
Good to Have
- Experience with Avaya, Vocalcom, Twilio, Genesys, Five9, Amazon Connect, or similar platforms.
- Experience with Voice AI, conversational AI, speech-to-text, text-to-speech, or AI calling platforms.
- Experience with OpenAI, Dialogflow, ElevenLabs, Deepgram, AssemblyAI, or similar APIs.
- Prior experience leading enterprise integrations or production deployments.
- Experience preparing architecture diagrams, integration documentation, and client-facing technical materials.
- Experience working across multiple teams to identify ownership, dependencies, and technical responsibilities.
What We Value
- Strong ownership and personal accountability.
- Ability to work independently without waiting for detailed step-by-step instructions.
- Fast learning and the ability to understand unfamiliar systems quickly.
- Proactive communication when requirements are unclear or blockers arise.
- Confidence communicating directly with enterprise clients.
- Ability to translate technical concepts into practical business language.
- Comfort working in an evolving and occasionally unstructured startup environment.
- Ability to move quickly from requirements to implementation.
- Practical decision-making focused on production outcomes.
- Reliability in completing agreed tasks within the expected timeline.
Click on Apply to know more.