Emvo
Website:
emvoke.com
Company:
https://www.linkedin.com/company/emvoai
Industries: Software Development
Job details:
Experience: 2–3 years
Stage: Early-stage AI Startup
Team: Engineering / Product
Reports to: CTO / Founders
About the RoleWe are looking for an exceptional AI Engineer who can build the technical backbone of our AI products from the ground up.
This is not a traditional software engineering role.
You will own the architecture, development, deployment, and scaling of AI-native products that combine Voice AI Agentic workflows, backend systems, APIs, cloud infrastructure, and user-facing applications.
You should be excited about building fast, shipping quickly, solving hard engineering problems, and working directly with founders to shape the company’s technical future.
What You Will BuildYou will help build:
- Enterprise AI Agents
- AI Voice Agents (real-time phone and voice automation)
- LLM-powered workflow automation systems
- AI copilots for enterprises
- Real-time conversational AI products
- Multi-agent orchestration systems
- Scalable AI infrastructure for enterprise deployment
Core Responsibilities1. Build AI Products End-to-EndOwn the entire development lifecycle:
- Product architecture
- Backend APIs
- Frontend interfaces
- Database architecture
- AI model integrations
- Production deployment
Take products from prototype → MVP → enterprise-grade scale.
2. Build Production AI SystemsBuild systems using:
- OpenAI APIs
- Anthropic models
- Open source models via Hugging Face
- Agent orchestration frameworks
- Prompt chaining systems
- RAG architectures
- Context management pipelines
Focus on reducing:
- Latency
- Hallucinations
- Token cost
- Model failure rates
3. Voice AI InfrastructureBuild real-time voice systems using:
- Speech-to-text pipelines
- Text-to-speech pipelines
- Telephony APIs
- Voice conversation orchestration
- Real-time streaming architecture
- Interrupt handling in voice conversations
Technologies may include:
- Twilio
- Deepgram
- ElevenLabs
- WebRTC infrastructure
4. Build Platform InfrastructureDesign and build:
- Model serving infrastructure
- Agent orchestration engine
- Queue management systems
- Monitoring systems
- Failover systems
- Deployment pipelines
- Infrastructure automation
Work with:
- Docker
- Kubernetes
- Redis
- Event-driven architecture
- Message queues
- Distributed systems
5. Move FastWe need engineers who:
- Build quickly
- Ship weekly
- Debug independently
- Solve product problems without waiting for requirements
- Take ownership beyond engineering
This is a builder role.
Tech stack we use or want to build with:Backend- Python
- FastAPI
- Node.js
- TypeScript
- PostgreSQL
- Redis
AI Stack- LangChain
- LlamaIndex
- Vector databases
- RAG pipelines
- Prompt engineering
- AI evaluation frameworks
FrontendInfrastructure- Docker
- Kubernetes
- AWS
- CI/CD
- Terraform
Real-time Systems- WebSockets
- WebRTC
- Streaming APIs
- Low latency systems
What We Want In CandidatesMust have:
- Strong Python engineering skills
- Strong backend architecture experience
- Built scalable production systems
- Experience with LLM applications in production
- Ability to build across backend + frontend
- Comfortable in ambiguity
Preferred:
- Worked in startup environments
- Experience in AI infrastructure
- Experience building agentic workflows
- Experience in voice AI systems
- Strong system design fundamentals
Click on Apply to know more.