Staff+ Software Engineer, AI
New
J
JobgetherFinancial Planning AI
Based in Mexico; Fully remote work across the Americas, Align reasonably with the team's working hours in the AmericasFull-TimeStaff
SalaryCompetitive compensation structure with location-based salary ranges and equity participation.
Apply NowOpens the employer's application page
Job Details
- Required Skills
- Software DevelopmentPrompt Engineering
Requirements
- Demonstrated experience building and shipping production LLM systems (evaluation infrastructure, context management, multi-model routing).
- Strong practical understanding of production AI system failures and trade-offs.
- Experience with LLM APIs and agent frameworks.
- Strong understanding of prompt engineering, context design, tool use, agent orchestration, and caching.
- Experience designing and implementing evaluation methodologies for LLM or agentic systems.
- Strong architectural judgment with the ability to create clear abstractions.
- Strong full-stack engineering fundamentals.
- Demonstrated high agency through experience as a founder, engineering lead, or startup builder.
- Track record of influencing adoption beyond your immediate team.
- Experience building complex B2B products.
- Ability to align reasonably with the team's working hours in the Americas.
Responsibilities
- Own the shared AI foundation used by product engineering teams, including model selection and routing, model proxy infrastructure, context management, and tool design.
- Design and evolve the architecture that allows different AI capabilities and product teams to build on a consistent, reliable foundation.
- Own AI evaluation infrastructure, working with customers and finance-domain experts to define quality standards and translate them into repeatable evaluations.
- Build and ship agentic capabilities end to end, from initial proof of concept through production deployment and iterative optimization.
- Build observability into agent behavior, enabling teams to profile workflows, identify bottlenecks, diagnose failures, and prioritize improvements using data.
- Create proof-of-concepts rapidly, validate technical approaches, and turn successful concepts into production-ready v0 implementations.
View Full Description & ApplyYou'll be redirected to the employer's site
