AI Engineer for LLMOps & Evaluation at Auxilius.ai building AI solutions for Governance, Risk and Compliance. Own LLMOps pipeline and drive prompt engineering in a hybrid environment.
About the role
- Senior AI Engineer at HyperFi managing AI program end-to-end. Leading GPU architecture decisions and integrating AI into user-facing flows.
Responsibilities
- Own our fine-tuning strategy end-to-end — LoRA first, full fine-tunes where they earn it. What we tune, on what hardware, against what evals
- Define the GPU architecture. We have working infrastructure (H100 for production, A100 for training); your call to confirm, reshape, or rebuild
- Drive model selection and routing across Gemini, Anthropic, and OpenAI — the right model for the right job, with cost and latency in the equation
- Build agentic LLM pipelines using LangChain, LangGraph, and LangSmith
- Design and iterate on prompt strategies, with a focus on consistency and context
- Construct retrieval-augmented generation (RAG) systems from scratch
- Instrument evaluation metrics, telemetry, and feedback loops to guide model and prompt evolution
- Work alongside product, frontend, and backend engineers to tightly integrate AI into user-facing flows
Requirements
- 8+ years building production-grade ML, data, or AI systems
- Hands-on experience training and fine-tuning models — LoRA, QLoRA, adapter methods, or full fine-tunes.
- Actual model work, not just prompt iteration
- Confidence to define GPU architecture given a goal and a budget — hardware choices, training strategy, cost/performance tradeoffs
- Strong grasp of prompt engineering, context construction, and retrieval design
- Comfortable working in LangChain and building agents, not just chains
- Strong Python: testable, maintainable, clearly structured
- Understanding of model evaluation, observability, and feedback loops
- Excited to push from prototype → production → iteration
- Senior IC judgment: you scope your own work, push back when it's right, and make calls others can build on
- Confident English skills to collaborate clearly and effectively with teammates.
Benefits
- Flexible hours
- async-friendly culture
- engineering-led environment
Job title
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Degree requirement
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