- Muttdata
- Argentina,
- 13 days ago
AI Python Backend Engineer — Forward Deployed.
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AI Python Backend Engineer — Forward Deployed: our view in 3 lines...
- The Role:This role is for a Python backend engineer who builds and deploys LLM-based agents for a banking client.
- The Person:The person will build LLM agents, take them into production on AWS, run evals and monitoring, resolve technical issues with platform teams, and document and hand off each deployed agent.
- Requirements:The ideal candidate has at least one LLM-based agent or system taken to production using LangGraph or an equivalent framework, 4+ years of backend experience in Python with FastAPI or another async framework, and experience with AWS, Langfuse, CI/CD, Kubernetes, Terraform, OAuth2/JWT, RAG and vector databases.
About the role
Join Our Remote Data Products & Machine Learning Startup!
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
We're looking for a proactive, technically strong AI Backend Engineer (Python) — Forward Deployed to join our team . You'll work on a strategic project for one of our banking clients, embedded within the bank's AI platform team, taking LLM-based agents into production across the bank's business units.
This is an embedded role: you join a team that has an agent to build or deploy, build it on top of the platform's scaffolding (LangGraph, LiteLLM, Langfuse), take it to production through the bank's controls, and leave the team able to operate it on their own. Once that agent is live, you move on to the next team. What you learn in each rotation feeds back into the platform as improvements to the template, observability, and deployment process.
This role requires strong ownership, solid architectural judgment, and the ability to build systems that are secure, performant, and built to scale. You'll collaborate closely with cross-functional teams in a fast-paced, high-standards environment typical of the financial industry.
