Descripción del puesto
Fluent English — written and spoken
Strong Python skills as your primary language
Hands-on LLM experience with OpenAI, Anthropic, AWS Bedrock, or similar
API and service development experience (FastAPI or equivalent)
AWS deployment and operations experience; you’ve shipped and run things in the cloud
Comfort with real-world, imperfect systems and pragmatic problem-solving
Ability to work with core engineers, product, and leadership in a fast-paced environment
Design, build, and improve AI-driven systems, including agent-based and multi-agent workflows
Debug, stabilize, and refactor AI/LLM systems currently running in production
Develop and integrate AI capabilities through REST APIs (FastAPI or equivalent)
Deploy, monitor, and operate services on AWS
Automate manual workflows: document comparison, OCR pipelines, account provisioning
Communicate trade-offs, progress, and risks clearly to technical and non-technical stakeholders
What Makes This Role Interesting:
You'll work on a product that directly replaces manual, high-volume tax workflows with AI
Real ownership: you'll see your systems go from design to production
Direct collaboration with engineers and leadership — no bureaucracy
A technical environment that values pragmatism, velocity, and problem-solving
Requisitos
- Agent or multi-agent frameworks (LangGraph, LangChain, LlamaIndex)
- Containerized deployments (Docker, ECS, Gunicorn)
- Observability tools (CloudWatch, Prometheus, Grafana)
- Semantic search, embeddings, or vector databases
- Document processing / extraction tools (e.g., AWS Textract)
- Testing (pytest, Playwright) and CI/CD workflows
- Exposure to tax, fintech, or document-heavy domains