Backend Sênior (Python/LLMs/Agents) – Inglês Avançado – Remoto com PJ de até 23k
Summary
Builds Python-based agent systems using LangGraph/LangChain, deploys on GCP with Kubernetes, and integrates LLMs with tools like Slack, Salesforce, and Google APIs.
Descrição da Vaga:
Core Languages and Frameworks:
Primary Language – Python
Agent Frameworks – LangGraph, Agent state machines, graph-based workflows
LLM Abstraction – LangChain, Chain composition, tool calling, prompts
Web Framework – FastAPI , REST APIs, agent endpoints, health checks
Data Validation – Pydantic, Config, request/response models
Infrastructure & Deployment
Container Platform – Kubernetes
Container Runtime – Docker
CI/CD – TeamCity
Cloud Provider – GCP Vertex (Primary) for llm models
Database and State Management – Vector DB (QDrant), PostgreSQL, Redis + Celery
Integrations & APIs
Slack – user interaction
Google APIs – Sheets, Drive, Gmail
Google Pub/Sub – Event-driven workflows
Salesforce – Restaurant data, CRM
GitHub – PyGithub, gitpython – Code specific capabilities
Jira – Atlassian API
Brightdata/Facebook/Instagram- Social media automation
Tavily – Web search/research
Observability & Evaluation
LangSmith – LLM tracing, evaluation, prompt debugging
Structured Logging – structlog, python-json-logger