Salary
💰 $175,000 - $280,000 per year
Tech Stack
PythonPyTorchTensorflow
About the role
- Set strategy, architecture, and standards for agentic systems automating complex, multi-step financial workflows
- Define shared architectures and reusable patterns for reasoning, tool use, and workflow automation
- Build and evolve shared agent platforms using frameworks like LangChain, LlamaIndex, AutoGen, and emerging OSS stacks
- Guide pragmatic model choices across prompting, RAG, fine-tuning, or training from scratch
- Establish standards for monitoring, evaluation, iteration, and integration into secure, reliable, and scalable production systems while balancing compliance
- Drive high-impact initiatives end-to-end, mentor engineers, and lead design reviews
- Turn one-off wins into reusable patterns and platforms and build systems that improve with usage
Requirements
- 8+ years in applied AI/ML with production deployments and cross-team impact
- Strong Python
- Experience with ML frameworks (PyTorch, JAX, TensorFlow)
- Track record building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems
- Experience with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) or similar OSS stacks
- Experience in model choices across prompting, RAG, fine-tuning, or training from scratch
- Experience establishing monitoring, evaluation, and integration of models into secure production systems
- Proven ability to set direction, create standards, mentor engineers, and balance innovation with production needs