Backend Software Engineer - AI/LLM & Voice Systems

About the Role:

We're seeking a Backend Software Engineer with expertise in Large Language Model (LLM) integration and voice interface systems. In this role, you'll build and maintain scalable systems that power intelligent agents, voice assistants, and real-time AI applications. This is a cross-functional role that blends traditional backend engineering with modern AI tooling and audio systems - ideal for a multidisciplinary technologist.

Responsibilities:

• Design, develop, and optimize backend APIs using Python (FastAPI or Flask)
• Build and deploy LLM pipelines using OpenAI, Anthropic, Mistral, Meta (LLaMA)
• Implement ASR and TTS systems with Whisper, DeepSpeech, Google STT, Amazon Polly, Coqui TTS
• Architect real-time pipelines using WebSockets, Redis Pub/Sub, microservices
• Integrate RAG pipelines using FAISS, Pinecone, and LangChain/Haystack
• Secure backend endpoints with JWT/OAuth2 and rate-limiting
• Deploy on AWS/GCP using Lambda, Cloud Run, ECS, Docker, Kubernetes
• Collaborate with frontend/mobile teams for multimodal interaction
• Contribute to prompt tooling, memory systems, and agent orchestration
• Design with cost-awareness in mind, optimizing cloud usage and minimizing overhead for model inference and streaming pipelines

Core Skills & Traits:

• Strong software architecture design for real-time, low-latency systems
• Deep understanding of LLM behavior in production and inference workflows
• Experience building multimodal (voice + text) interfaces
• Passion for building robust AI systems and developer tooling
• Excellent collaboration and communication across disciplines
• Security-first mindset in all aspects of data and system design
• Cost-aware mindset: ability to evaluate tradeoffs and reduce infrastructure/inference costs