Staff AI Engineer
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Job Description
Staff AI Engineer role focusing on technical leadership and architecture for AI products. Join a team impacting millions with Generative and Predictive AI systems.
Responsibilities:
- Own the technical roadmap for our AI Voice Agent ecosystem, ensuring every architectural decision scales with our aggressive business growth
- Act as the ultimate SME for LLMOps and AIOps, mentoring a high-performing engineering team in system design and implementation excellence
- Partner with Product to deploy Foundational Models (LLMs) and specialized speech-to-text (ASR/TTS) models into production environments
- Lead complex, cross-functional initiatives by identifying and resolving bottlenecks in infrastructure and real-time inference performance
- Translate technical complexities into clear strategic narratives for executive leadership and external stakeholders
Requirements:
- 8+ years of experience building robust, production-level code in Python
- 3+ years of hands-on experience deploying high-volume, low-latency Conversational AI, specifically focusing on ASR/TTS engines or real-time NLP
- Experience with AI Evaluation (automated evaluation pipelines, data sets, and quality assessment of LLMs)
- Experience using AI tools (e.g., Cursor, Claude, Gemini) to accelerate coding and development process
- Proven track record in designing fault-tolerant, distributed systems
- Expert-level knowledge of Foundational Model orchestration (LangChain, LangGraph) and advanced RAG architectures
- Deep theoretical and practical knowledge of ML algorithms using PyTorch or TensorFlow, and experience with NLP libraries (Hugging Face, etc.)
- Extensive experience with public cloud (Azure/AWS), microservices, and asynchronous messaging (Kafka, ServiceBus)
- Expert command of modern SDLC tools, Git, unit testing, and profiling to ensure zero-downtime deployments
- Nice to have: Experience implementing Reinforcement Learning (RL) and continuous learning loops for online system optimization
Benefits:
- Work in a no blame culture where the team will work together to find solutions
- Available to work remotely
- Healthy work life balance
- Annual bonus
- Equity
- A holistic suite of benefits
- Training opportunities to expand your skillset
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