6 дней назад
AI Backend Engineer #2
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Backend Engineer #2 (Python/AI Platform): Building backend services, AI agents, SDKs, MCP servers, and a unified inference layer for internal developer teams with an accent on agent lifecycle management, secure platform infrastructure, and production reliability. Focus on designing RAG pipelines, vector database integrations, guardrails, PII masking, context optimization, and enabling other engineers to adopt the platform.
Location: Buenos Aires, Argentina; hybrid work required
Company
is a remote-first startup building data products, machine learning systems, data infrastructure, and custom AI solutions for businesses.
What you will do
- Design and develop Python backend services and AI agents using LangChain and LangGraph.
- Manage the agent lifecycle from development and deployment through observability, monitoring, and continuous improvement.
- Build and maintain cross-team SDKs and support developers adopting the internal AI platform.
- Develop, publish, secure, and authenticate MCP servers.
- Unify agent inference through LiteLLM or a similar proxy.
- Build and optimize RAG pipelines, vector databases, context management, guardrails, PII masking, and Agent Skills.
Requirements
- 5+ years of backend development experience and 2+ years working with agentic AI.
- Strong Python and FastAPI, or similar backend framework, experience.
- Experience with LangChain, LangGraph, modern agent-building stacks, and production AI agents.
- Knowledge of MCP across development, publishing, authentication, and lifecycle management.
- Experience with LiteLLM or similar proxies, vector databases, RAG, context optimization, guardrails, and PII masking.
- Experience building and maintaining SDKs, communicating clearly, and supporting other developers.
Nice to have
- TypeScript experience.
- Kubernetes experience.
- AWS experience.
Culture & Benefits
- Remote-first culture with a hybrid work model for this role.
- In-company English lessons.
- Wellhub or sports club stipend.
- Company-funded AWS, DBT, Google Cloud, Azure, and Databricks certifications.
- Birthday day off, an additional vacation week, annual team trip, childcare reimbursement, food credits, and referral bonuses.
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