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4 дня назад

AI Backend Engineer (Python) — Forward Deployed

Формат работы
remote (только Argentina)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Backend Engineer (Python) — Forward Deployed (AI/LLM agents): Building and deploying LLM-based agents for banking teams on AWS with an accent on LangGraph, internal API integrations, evaluation, observability, and security controls. Focus on taking agents from platform scaffolding to production, solving cross-functional deployment issues, and transferring operational knowledge to client teams.

Location: Remote — Argentina

Company

hirify.global is a remote-first data products and machine learning startup building data engineering, forecasting, recommendation, computer vision, and generative AI solutions.

What you will do

  • Build LLM-based agents using platform scaffolding such as LangGraph, LiteLLM, and Langfuse.
  • Integrate agents with internal banking APIs, tool calling, state and conversation management, and guardrails.
  • Deploy agents to production on AWS using containers, CI/CD, secrets, permissions, networking, and security controls.
  • Define evaluation workflows and monitor production quality, latency, cost, and traces.
  • Resolve technical and process issues with Identity, Security, DevSecOps, Networking, and business teams.
  • Create documentation and runbooks, transfer operational knowledge, and improve agent templates, deployment pipelines, and observability after each rotation.

Requirements

  • At least one LLM-based agent or system taken to production and operated using LangGraph or an equivalent framework.
  • 4+ years of backend engineering experience with Python and production services built with FastAPI or another asynchronous framework.
  • Ability to take a service from repository to production on AWS, including containers, CI/CD, and observability.
  • Experience with LLM evaluations, tracing, hallucination control, and agent observability using Langfuse or a similar tool.
  • Daily use of AI development tools such as GitHub Copilot, Claude Code, or Cursor.
  • Strong communication, ownership, architectural judgment, and documentation skills.

Nice to have

  • Banking or fintech experience.
  • Kubernetes, Terraform, OAuth2/JWT, RAG, or vector database experience.
  • Experience building MCP servers or using Spec-Driven Development.
  • Previous embedded client consulting or forward-deployed experience.

Culture & Benefits

  • Remote-first work from Argentina.
  • In-company English lessons.
  • Wellhub or sports club stipend.
  • Company-covered AWS, dbt, Google Cloud, Azure, and Databricks certifications.
  • Food credits, birthday day off, an additional vacation week, referral bonuses, annual team trip, and monthly childcare reimbursement.

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