[Hiring] AI Python Backend Engineer @Muttdata

Role Description

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.

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.

Qualifications

• 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.

Nice to have

• Experience in banking or fintech.
• Kubernetes and Terraform.
• API security (OAuth2/JWT).
• RAG and vector databases.
• Building your own MCP servers.
• Spec-Driven Development.
• Prior experience as an embedded client consultant or in a forward-deployed role.

Benefits

• Remote-first culture – work from anywhere!
• In-Company English Lessons.
• Wellhub or sports club stipend to stay active.
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Food credits via Pedidos Ya – because great work deserves great food.
• Birthday off + an extra vacation week (Mutt Week!).
• Referral bonuses – help us grow the team & get rewarded!
• Annual Mutters' Trip – an unforgettable getaway with the team!
• Monthly Childcare Reimbursement – Because supporting families matters too.