Senior Back End Developer
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Key skills for this role
About the Role
Hams.AI is an AI company building a full enterprise automation platform, enabling organizations to automate customer interactions, operational tasks, data-driven decisions, and service processes across voice, chat, WhatsApp, and digital channels.
Key Skills for This Role
Full Job Posting
Company Description
Hams.AI is an AI company building a full enterprise automation platform, enabling organizations to automate customer interactions, operational tasks, data-driven decisions, and service processes across voice, chat, WhatsApp, and digital channels.
Our platform focuses on real-time execution, turning enterprise workflows into automated actions across systems with measurable reliability, speed, and control at scale.
Hams is expanding rapidly across multiple industries in the region, and we are looking for deep backend engineering talent to strengthen our platform core.
About The Role
We're building a production-grade platform for deploying enterprise AI-powered voice and chat agents at scale.
Think: real-time voice bots that handle inbound/outbound calls, multi-agent orchestration, knowledge base retrieval, and telephony integration — all with sub-100ms latency requirements.
This isn't a wrapper around an LLM API.
This is deep systems engineering across real-time audio, distributed computing, and AI orchestration.
What You'Ll Own
- **Real-time Voice Pipeline**
- — Audio processing with self-deployed STT/TTS models and LLM inference running concurrently across hundreds of simultaneous calls
- **Multi-Agent Orchestration**
- — Multi-agent coordination, conversation flow state machines, and handoff logic between specialized AI agents
- **Distributed Systems at Scale**
- — Task queues, pub/sub messaging, async database operations, process-per-session isolation, and graceful shutdown under load
- **Telephony & WebRTC**
- — SIP trunk management, PBX integration, real-time media streaming
- **RAG & Knowledge Bases**
- — Vector search, document chunking pipelines, and embedding management
- **Multi-Tenant Architecture**
- — Secure data isolation, encrypted credential management, and enterprise webhook delivery
Backend
Python, async web framework, async ORM, distributed task queue, in-memory data store, relational database
Ai And Ml
LLM orchestration framework, multi-agent graph framework, NLP libraries, ML model inference runtime
Voice
Real-time audio processing framework, WebRTC media server, PBX/SIP integration, self-deployed STT/TTS
Infra
Containers, orchestration, cloud storage, error tracking, distributed tracing, database migrations
Data
Vector database, relational DB with flexible schema, in-memory store for sessions/queues
What We'Re Looking For
10+ years
of software engineering experience, with deep expertise in
Python
and
distributed systems
Hands-on experience with
real-time audio/video processing
or
Voip And Telephony
systems
Strong background in
async Python
(asyncio and async frameworks)
Experience Building And Scaling
multi-tenant SaaS platforms
Comfort with
LLM orchestration
— prompt engineering, agent frameworks, RAG pipelines
Track record of owning systems end-to-end: from database schema design to production monitoring
Experience With
distributed task processing
and message queues
Experience With
self-deploying and managing STT/TTS models
on server infrastructure
Bonus Points
- Background in real-time audio frameworks and WebRTC media servers
- Experience with
- PBX/SIP telephony
- integration
- **Speech processing**
- model deployment and optimization
- Multi-language voice AI experience (Arabic, etc.)
- Prior founding/early-stage startup experience
- Apply here:
- https://form.asana.com/?k\=yE2HX1zQr8rh77JA5LWmkw&d\=1210838775195077
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