Senior AI Engineer

About this role

About the Role

We're looking for a Senior AI Engineer to join our team and build the systems powering our generative AI and applied ML products. This is a hands-on role for someone who has shipped production RAG pipelines, fine-tuned and evaluated models, and knows how to take AI features from prototype to scale.

Responsibilities

Design and build retrieval-augmented generation (RAG) pipelines, including chunking, embedding, and retrieval strategies

Architect and optimize vector database infrastructure (Pinecone, Weaviate, pgvector, or similar) for production-scale retrieval

Fine-tune, evaluate, and deploy LLMs for specific use cases, including prompt engineering and model evaluation frameworks

Build and maintain data pipelines for training, fine-tuning, and continuous evaluation

Integrate generative AI features into production applications via APIs (OpenAI, Anthropic, open-source models)

Monitor model performance, latency, and cost in production, and iterate on improvements

Collaborate with product and engineering teams to translate business problems into AI-driven solutions

Stay current with the rapidly evolving AI/ML landscape and evaluate new tools, models, and techniques

Required Qualifications

4+ years of professional software engineering experience, with 2+ years focused specifically on applied AI/ML in production

Hands-on experience building RAG systems end-to-end (retrieval, chunking, embedding strategies, reranking)

Practical experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, or similar)

Experience working with LLM APIs (OpenAI, Anthropic, Cohere) and open-source model frameworks (Hugging Face, LangChain, LlamaIndex)

Strong Python skills, with experience in ML/data tooling (PyTorch, NumPy, pandas)

Understanding of embedding models, semantic search, and evaluation metrics for generative AI quality

Experience deploying and monitoring ML/AI systems in production environments

Strong grasp of prompt engineering and techniq...