Join an innovation-focused engineering team to lead the development of AI-powered solutions from concept to production. You'll work across the full lifecycle of AI features—designing, building, and deploying systems that directly improve customer experiences and internal operations. This role demands hands-on technical expertise and a pragmatic mindset to deliver quickly without sacrificing long-term maintainability.
What You’ll Do
- Develop and launch AI-driven features using Python and modern LLM APIs, ensuring they are robust, secure, and integrated into live products
- Design data workflows for document processing, embedding pipelines, and vector search to support intelligent applications
- Build and maintain scalable backend services and RESTful APIs with proper authentication, error handling, and rate controls
- Deploy containerized applications on AWS using ECS, Lambda, S3, and RDS, with strong observability through logging and monitoring
- Collaborate with product, data science, and business teams to identify high-value use cases and translate them into technical implementations
- Prototype rapidly, validate with real user feedback, and iterate to refine performance and usability
- Ensure compliance with security and privacy standards relevant to financial services environments
- Share insights and best practices across engineering teams to scale AI adoption company-wide
What We’re Looking For
- Proficiency in Python and experience with Node.js or Java for backend development
- Proven track record of shipping at least two AI/ML features into production used by real users
- Hands-on experience integrating LLMs like OpenAI or Anthropic beyond prompt tuning—actual feature implementation
- Strong database skills, including PostgreSQL and vector databases such as Pinecone, Weaviate, Chroma, or pgvector
- Familiarity with AWS services including ECS, S3, Lambda, RDS, API Gateway, and SQS
- Experience with Docker and orchestration platforms like ECS or EKS
- Comfortable working in git-based workflows with CI/CD pipelines using tools like GitHub Actions or GitLab CI
- Full-stack awareness, from backend APIs to frontend integration, enabling end-to-end delivery
Nice to Have
- Experience with LangChain, LlamaIndex, or similar frameworks for RAG applications
- Knowledge of embedding models and semantic search architectures
- Background in fintech or regulated industries, with understanding of compliance and data governance
- Frontend experience using React or Next.js to build interactive AI interfaces
- Exposure to model deployment, inference optimization, or A/B testing strategies
- Contributions to open-source AI projects or technical writing in the field
How We Work
The team operates in a hybrid model with flexibility to work remotely. While based in São Paulo, remote work is supported, allowing you to balance office collaboration with home productivity. There’s no rigid office requirement—engagement happens organically, especially during onboarding or key project phases.
We value clarity, ownership, and continuous growth. Our culture emphasizes direct communication, simplicity in design, pride in craftsmanship, and openness to change through feedback and experimentation. You’ll work alongside driven, collaborative engineers who prioritize impact over ego.
Compensation & Growth
This role offers a competitive salary and stock options from day one. We support professional development through annual learning funds and internal advancement paths. With a results-driven approach, we empower engineers to lead initiatives and shape the future of AI at scale.
