We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a “prompt engineer” role. You’ll design, train, and ship domain-specific language models that automate real workflows and move real revenue.
🏢 About Albi
Albi is a company focused on leveraging machine learning and artificial intelligence to create solutions for restoration companies, helping them automate workflows and improve their operations.
🎯 The Role
You will be responsible for owning end-to-end LLM systems, from architecture and training to evaluation and iteration. You’ll work on fine-tuning and extending existing models, building and maintaining data pipelines, and collaborating closely with product and engineering teams to turn real-world problems into working systems.
✅ Key Responsibilities
Own end-to-end LLM systems: architecture, training, evals, and iteration
Fine-tune and extend existing models (LoRA, instruction tuning, RLHF)
Build and maintain data pipelines from product databases, documents, APIs, and logs
Ship reliable, monitored, production models with clear guardrails
Collaborate closely with product and engineering to turn messy real-world problems into working systems
Build and coordinate the AI engineering team
Use Claude Code as a core tool for development, refactors, tests, and experiments
📌 Required Qualifications
5+ years of real-world experience in ML / AI engineering
Proven experience training or substantially contributing to training LLMs (not just calling APIs)
Deep understanding of transformers, attention, and training dynamics
Strong Python plus PyTorch or JAX
Experience with large-scale data pipelines and experiment tracking
Hands-on fine-tuning (LoRA, instruction / SFT, RLHF or similar)
Comfortable using Claude Code as part of your daily workflow
Able to explain complex systems simply to non-technical stakeholders and go deep with experts
Track record of owning projects end-to-end and mentoring other engineers
⭐ Desirable Experience
Distributed training (FSDP, DeepSpeed, Megatron, etc.)
