Senior Software Engineer/Applied AI Scientist
Core
Design and deploy statistical, ML, and generative/agentic AI solutions (RAG, chatbots, forecasting) to automate regulatory filings, enhance customer experience, and power underwriting/claims operations.
Role type
Senior Applied AI Scientist / Machine Learning Engineer
Builds
Production AI models, RAG pipelines, automated regulatory filing tools, and customer-facing GenAI assistants
Domain
Insurance / Regulatory Compliance / Generative AI
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning, deep learning, SQL, unstructured data processing, NLP, Generative AI, RAG, prompt engineering, agent design, MLOps, cloud platforms (AWS/Azure/GCP)
Preferred skills
Vector databases, document AI tooling, embedding model selection, orchestration frameworks (LangChain), responsible AI practices, synthetic data generation
Technologies
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Git, Vertex AI, SageMaker, Bedrock, LangChain, LangGraph, LlamaIndex, MLflow, W&B, OpenSearch, pgvector, Tesseract, LayoutLM
Responsibilities
Design and deliver AI solutions for RAG, chat, and forecasting; engineer domain-specific knowledge bases; develop GenAI capabilities for regulatory filing automation; collaborate with stakeholders to align AI initiatives with business goals; own the AI lifecycle from problem framing to deployment; design retrieval strategies and tune for cost/latency; author system prompts and define agent policies; evaluate and monitor model performance and drift; generate synthetic data pipelines; integrate AI into production systems; pilot emerging AI methods
Seniority
Senior, hands-on IC