About the role
We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.
What you'll own
- Architect and build production-grade AI applications.
- Evaluate and standardize AI frameworks, tools, and platforms.
- Design agentic systems, RAG pipelines, and AI workflows.
- Establish AI evaluation, testing, guardrails, and observability practices.
- Drive AI-native development and delivery acceleration initiatives.
- Partner with engineering and product teams on technical roadmap decisions.
What we're looking for
- 7+ years of software engineering experience.
- Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
- Hands-on experience building Voice AI applications, including Speech-to-Text (STT/ASR) and Text-to-Speech (TTS) pipelines.
- Experience with real-time conversational AI, voice agents, OpenAI Realtime API, Whisper, Azure AI Speech, ElevenLabs, AWS Polly, Coqui TTS, or similar speech technologies.
- Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
- Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
- Strong Python and TypeScript/Java skills.
- Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
- Proven experience shipping AI applications to production.