About Inter
As pioneers, we transformed the market by launching Brazil’s first digital bank and continue to shape the future with cutting-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people’s lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here.
Become Sangue Laranja.
About the Role and Mission
You will be part of the team responsible for Seven, Inter's virtual assistant, and will act directly in the construction of our Generative AI agents platform. Your role will be central to Inter's AI First transformation — developing scalable solutions with LLMs, orchestrating intelligent agents, and ensuring that artificial intelligence truly improves our customers' lives. If you want to be at the forefront of innovation in one of Brazil's largest digital banks, this is your opportunity.
Responsibilities
- Develop and evolve Inter's Generative AI agents platform, ensuring scalability and resilience.
- Build and orchestrate intelligent agents using LangChain, LangGraph, and models from OpenAI and Anthropic.
- Implement RAG pipelines with pgvector to enrich agent responses with relevant context.
- Develop and maintain APIs with FastAPI and integrations via REST, connecting agents to bank systems.
- Contribute to the evolution of Seven, Inter's virtual assistant present in the app for millions of customers.
- Monitor system health and performance with Grafana and New Relic, acting proactively to identify problems.
- Work on reducing inference costs, evaluating models, caching strategies, and prompt optimization.
- Collaborate with multidisciplinary teams in developing solutions that place Inter at the forefront of AI First.
- Participate in Scrumban agile rituals, contributing with estimates, reviews, and retrospectives.
Requirements
Mandatory:
- Solid experience with software development in Python, Java, or .NET.
- Experience with architecture and development of REST APIs.
- Knowledge in containerization and orchestration with Docker and Kubernetes.
- Familiarity with relational and non-relational databases (MongoDB, Redis, PostgreSQL).
- Experience with agile methodologies (Scrum, Kanban, or Scrumban).
- Ability to quickly learn and adapt to new technologies, especially in the context of Generative AI.
Desirable:
- Experience with development or orchestration of AI agents using LangChain or LangGraph.
- Knowledge in RAG and vector databases like pgvector.
- Familiarity with LLM models from OpenAI and Anthropic and good practices of LLMOps.
- Experience with FastAPI for high-performance API development.
- Knowledge in observability tools like Grafana and New Relic.
- Experience with cloud platforms, especially AWS Bedrock.
- Familiarity with AI-assisted development tools like Cursor and Claude Code.
Optional:
- Intermediate English for reading technical documentation and keeping up with news in the AI ecosystem.
- Experience with mobile development.
- Experience in technology companies, fintechs, or digital banks.
- Knowledge in LiteLLM for managing and routing multiple LLM models.
- Familiarity with the MCP (Model Context Protocol).
- Experience with Guardrails for validation and security of LLM outputs.
- AWS certifications, especially related to machine learning or Bedrock.