// engineering
AI / ML Engineer
About the Role
You'll build the core intelligence behind botshift's AI operators. Our agents don't just answer questions — they run real business operations, make decisions, and drive revenue. You'll own the models, the orchestration, and the feedback loops that make them smarter over time.
What You'll Do
- Design and build multi-agent systems that operate autonomously in live business environments
- Fine-tune and evaluate LLMs for domain-specific tasks in hospitality, operations, and sales
- Build retrieval-augmented generation (RAG) pipelines and knowledge management systems
- Develop evaluation frameworks to measure agent performance against real business KPIs
- Architect prompt chains, tool-use patterns, and agent orchestration layers
- Collaborate directly with customers to understand operational needs and translate them into AI capabilities
What We're Looking For
- 3+ years of experience in machine learning or AI engineering
- Hands-on experience with LLMs (fine-tuning, prompt engineering, evaluation)
- Strong Python skills and experience with ML frameworks (PyTorch, HuggingFace, etc.)
- Experience building production ML systems, not just research prototypes
- Familiarity with vector databases, embedding models, and retrieval systems
- Ability to work autonomously and make judgment calls in ambiguous situations
Nice to Have
- Experience with multi-agent frameworks (LangGraph, CrewAI, AutoGen)
- Background in reinforcement learning or RLHF
- Prior work in hospitality, retail, or other physical-world industries
- Experience with robotics or embodied AI systems