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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and deploying LLM-based systems, with a strong focus on technical ownership, architectural decision-making, and performance optimization. Proven ability to lead critical initiatives and collaborate effectively across technology, product, and business teams.
Highest-signal resume keywords
LLM-Based Systems DeploymentRAG and Multi-Agent SystemsArchitectural Decision-MakingTechnical LeadershipProduction Code Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentLLM Fine-TuningSystem EvaluationCost OptimizationLatency ManagementReliability EngineeringData-Driven Decision MakingTechnical OwnershipEvaluation MechanismsCoding Assistance Tools
Soft Skills
Analytical AbilityResults OrientationAutonomy
Certifications & Qualifications
Degree in Computer ScienceDegree in EngineeringDegree in Mathematics
Industry Keywords
GenAI ApplicationsStartupsTechnology CompaniesLean OrganizationsPublic Technical Contributions
Tech Stack
Tools & technologiesOpen Source
About the role
Key responsibilities & impact- Design, develop, and deploy LLM-based systems
- Build solutions involving RAG, agents and multi-agent systems, fine-tuning, and evaluation pipelines
- Scale GenAI applications from proof of concept to solutions used by real users
- Monitor and optimize application cost, latency, quality, and reliability
- Create systematic evaluation mechanisms, including golden datasets and approaches such as LLM-as-judge
- Define guardrails and mechanisms to improve application safety and predictability
- Take technical ownership of critical initiatives, making decisions and assessing architectural trade-offs
- Work directly with Product and business teams to turn real-world problems into software solutions
- Track the results of implemented solutions and use data to guide their evolution
- Remain hands-on with implementation, maintaining a strong technical focus and staying close to the code
Requirements
What you’ll need- 7+ years of experience building software, with continued technical involvement and current experience writing production code
- Proven experience deploying LLM-based systems to production, in addition to using coding assistance tools
- Hands-on experience with RAG, agents, fine-tuning, or LLM system evaluation
- Ability to make architectural decisions and assess trade-offs involving cost, performance, latency, and reliability
- Track record of technical leadership, leading, creating, or scaling critical initiatives with identifiable individual contributions
- Degree in Computer Science, Engineering, Mathematics, or a related field, or a career path demonstrating a strong technical foundation
- Autonomy, technical depth, analytical ability, and results orientation
- Experience in startups, technology companies, or highly demanding technical environments is a plus
- Experience working in lean, highly autonomous organizations is a plus
- Public technical contributions, such as open-source projects, articles, talks, or engineering content, are a plus
- Ability to work across technology, product, and business is a plus
- Track record of career growth and increasing responsibility is a plus
Benefits
Comp & perks- Market-competitive salary
- Employment under Brazil’s CLT labor regime
- Annual bonus
- SuperSim Flex: points-based benefits program with a choice of meal/food voucher, transportation or mobility voucher, health insurance, dental insurance, life insurance, education allowance, and TotalPass
- Private pension plan
- Employee stock purchase program for eligible positions
- Company-subsidized training
- Day off on your birthday
- Weekly soccer and volleyball
- Celebratory events and happy hours
