Senior Software Engineer - Alti Team
Accountabilities: Build and ship AI product features end to end, including conversational AI experiences, intelligent agents, and automated routines that deliver measurable value to customers.
Design, implement, and continuously improve Retrieval-Augmented Generation (RAG) pipelines and prompt strategies.
Develop and maintain LLM evaluation pipelines to measure output quality, identify regressions, and continuously improve AI-powered experiences.
Establish monitoring and observability practices for AI features, including prompts, models, usage patterns, and system performance.
Support the transition of machine learning models into production environments, implementing monitoring and continuous feedback loops to improve their effectiveness over time.
Collaborate closely with Product and Design to identify meaningful customer problems where AI and machine learning can provide practical and scalable solutions.
Contribute across multiple stages of the delivery lifecycle, taking ownership of technical decisions and helping strengthen engineering practices as the product and team grow.
Work collaboratively in a small squad environment, sharing knowledge and contributing to a culture of experimentation, accountability, and continuous improvement.
Requirements
Solid professional experience as a software engineer building and successfully shipping customer-facing product features.
Hands-on experience developing AI products within the last 12 months, particularly involving LLMs, AI agents, or AI-powered features.
Practical experience with at least one of the following: chatbots or conversational AI, Retrieval-Augmented Generation (RAG), or LLM evaluation pipelines.
Strong programming skills in at least one of Go, TypeScript/JavaScript, or Python.
A strong product mindset, with a focus on delivering useful experiences to end users rather than concentrating solely on model development.
Comfort working in a fast-paced environment where engineers take ownership of multiple parts of the delivery and product lifecycle.
Professional working proficiency in English.
Experience with prompt engineering, AI monitoring and observability tools, autonomous or personal agents operating across channels such as Slack, Teams, or WhatsApp is highly desirable.
Experience taking machine learning models, including predictive models, into production with monitoring and feedback loops is an advantage.
Background in fintech, payments, or financial products is a plus.
Experience building and scaling ML or LLM-powered products is highly valued.
Previous experience in an early-stage startup environment, particularly from Seed through Series B, is considered a plus.
Benefits
Competitive salary tailored to experience, skills, and expertise.
Total target compensation of $90,000–$105,000 , plus equity.
Equity opportunities that allow employees to share in the organization’s growth and success.
Unlimited paid time off with flexibility when needed.
Annual learning and development stipend to support professional growth.
Fully remote position based in Brazil.
Opportunity to work on high-impact AI and fintech-related technology projects.
Collaborative, diverse, and supportive environment with significant ownership and opportunities for career growth.
Culture focused on transparency, resourcefulness, partnership, bold thinking, and accountability.
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