AI Engineering Team Lead
1 week ago
At Arbor, we are driving innovation in the home improvement and building materials industry by creating AI-powered solutions that redefine decision-making for contractors, builders, and homeowners.
We are an early-stage startup where technology meets execution. If you are passionate about building from scratch, thrive in fast-paced environments, and are excited by the limitless possibilities of AI, this role is perfect for you.
The Role
You will be at the forefront of our AI innovation as the Lead Machine Learning Engineer, shaping the technical direction of a startup and directly contributing to building intelligent applications. You will lead efforts to design, build, and optimize AI-driven systems with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and real-world AI agents.
This hands-on technical leadership role offers the opportunity to scale and mentor a team as the company grows.
Key Responsibilities
- Ai System Architecture:
- Design and implement end-to-end AI pipelines integrating LLMs for real-world applications.
- Build scalable and efficient RAG systems combining LLMs with vector search and structured databases.
- Lead the development of AI agents that make decision-making for customers seamless and powerful.
- Model Development:
- Fine-tune and optimize LLMs (GPT, Claude, Llama) for specialized use cases in construction and building materials.
- Research and deploy state-of-the-art models for context-aware, multi-turn conversations.
- Develop robust embeddings and retrieval mechanisms for efficient knowledge integration.
- Product Integration:
- Collaborate with product, design, and engineering teams to integrate AI capabilities into customer-facing products.
- Deliver a pro-customer AI experience, making our assistant the ultimate co-pilot for contractors and builders.
- Scalability & Optimization:
- Ensure models and systems are cost-effective, fast, and scalable for production-level use.
- Optimize token usage, inference latency, and data retrieval mechanisms.
- Leadership & Mentorship:
- Be the technical thought leader for all things AI and machine learning.
- Mentor junior engineers and help build a high-performing AI team.
What We're Looking For
- Technical Expertise:
- 5+ years of experience in machine learning and AI engineering, with a strong focus on LLMs and NLP.
- Proven track record in building and deploying AI systems at scale, ideally involving RAG pipelines.
- Deep understanding of modern LLM frameworks (LangChain, Hugging Face, etc.) and vector databases (FAISS, Weaviate, Chroma).
- Hands-On Skills:
- Expertise in Python, ML frameworks (PyTorch, TensorFlow), and deployment tools (Docker, Kubernetes).
- Strong experience with APIs, FastAPI, or Flask for building scalable backends.
- Salary: $150,000 - $200,000 per year
We offer a competitive salary and benefits package to ensure you're rewarded for your impact.
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