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Senior AI Engineer
PythonLarge Language ModelsPyTorch/TensorFlowRAG ArchitectureVector DatabasesAPI IntegrationDistributed SystemsPrompt EngineeringLangChain
About the role
Sierra is scaling the next generation of conversational AI agents that go beyond simple chat to solve complex customer problems through autonomous reasoning. As a Senior AI Engineer, you will architect and refine the orchestration layers that allow our agents to interact with third-party APIs, maintain state across long-term dialogues, and deliver brand-consistent experiences. You will play a pivotal role in pushing the boundaries of LLM reliability and latency for millions of concurrent global users.
Responsibilities
- Design and implement sophisticated agentic workflows that enable LLMs to perform multi-step reasoning and tool use.
- Optimize the inference stack to reduce latency and cost while maintaining high conversational quality.
- Develop robust evaluation pipelines to continuously benchmark agent performance against real-world customer interactions.
- Collaborate with product and design teams to build "human-in-the-loop" systems for complex edge cases.
- Stay at the forefront of LLM research to integrate new techniques in long-context window management and structured output generation.
- Mentor junior engineers and contribute to codebase scalability through rigorous code reviews and architecture design.
- Partner with infrastructure teams to manage the lifecycle of models deployed across global regions.
Requirements
- 5+ years of software engineering experience with at least 2 years focused on production-grade AI/ML systems.
- Proven track record of deploying LLM-based applications using frameworks like LangChain, LlamaIndex, or custom orchestration layers.
- Deep understanding of prompt engineering, fine-tuning methodologies, and RAG architectures.
- Expert-level proficiency in Python and experience with distributed systems in high-traffic environments.
- Experience with evaluation frameworks to measure and improve agentic accuracy, safety, and hallucination rates.
- Strong product intuition with the ability to translate consumer brand voice into technical AI constraints.
- Background in building scalable APIs and integrating with complex enterprise backends (ERP, CRM, etc.).
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