AI Backend Engineer (Python) — Forward Deployed
M
MuttdataMachine Learning
ArgentinaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of backend experience in Python
- Required Skills
- AWSPythonFastAPICI/CDLLM
Requirements
- At least one LLM-based agent or system taken to production and operated, using LangGraph or an equivalent framework.
- 4+ years of backend experience in Python, with production services (FastAPI or another async framework).
- Ability to independently take a service from the repo to production on AWS: containers, CI/CD, and observability.
- Experience with LLM evaluation (evals, tracing, hallucination control) and agent observability (Langfuse or similar).
- Daily use of AI development tools (GitHub Copilot, Claude Code, Cursor).
- Ability to join a new team, quickly understand its context, and unblock issues with both technical and business stakeholders.
- Clear communication and a habit of documenting and handing off what you build.
Responsibilities
- Build agents on top of the platform's scaffolding, including tool calling, integration with the bank's internal APIs, state and conversation management, and guardrails.
- Take each agent to production on AWS: containers, CI/CD, secrets, permissions, networking, and the bank's security controls.
- Define and run evals before going to production, and monitor with Langfuse once deployed (quality, latency, cost).
- Unblock technical and process issues together with the Identity, Security, DevSecOps, and Networking teams.
- Leave documentation and runbooks so the team can operate the agent independently, transferring knowledge before rotating to the next team.
- Feed what you learn in each rotation back into the platform: improvements to the agent template, the deployment pipeline, and observability.
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