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Software Engineer, Agent

Sierra · San Francisco, CA · New York, NY · Atlanta, GA

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What Sierra asks for

From Sierra's Software Engineer, Agent ad, checked 3 Nov 2026.

Production systems and scaling

Building and scaling end-to-end production systems, moving beyond prototypes to deliver reliable, high-performance software in industries like finance or healthcare.

AI and LLM systems

Experience deploying AI or Large Language Model systems, including work with evaluation frameworks, agent tooling, Retrieval-Augmented Generation pipelines, and prompt engineering.

Customer and stakeholder partnership

Collaborating directly with customers and external stakeholders to understand business challenges and turn them into technical solutions.

React, TypeScript and Go

Practical experience using React, TypeScript, or Go to build and ship software.

Founding engineer mindset

High agency and a builder mindset, balancing craftsmanship with the speed required at a startup or as a founding engineer.

How the example answers the ad

Three of the five requirements above, each matched to a line in the example.

  1. AI and LLM systems

    “Integrated evaluation frameworks into the CI/CD cycle to improve model response quality by 25%.”

    Incorporating evaluation frameworks into deployment cycles to increase model response quality by 25 percent shows the AI and LLM systems requirement.

  2. Customer and stakeholder partnership

    “Participated in 20+ sales calls to gather technical requirements, reducing feature implementation time by 3 weeks.”

    Attending more than 20 sales calls to define technical requirements directly with stakeholders addresses the customer and stakeholder partnership requirement.

  3. React, TypeScript and Go

    “Scaled core payment processing services by 40% through infrastructure optimization in Go.”

    Optimizing infrastructure for core services using Go to achieve 40 percent scaling shows practical experience with the specified React, TypeScript and Go languages.

The whole example as text

Kwame Osei · Senior Software Engineer

Summary

Software engineer with 6 years of experience building scalable production systems and AI-driven applications. Architected high-traffic fintech APIs and customer-facing platforms using Go and TypeScript. Developed Retrieval-Augmented Generation pipelines using evaluation frameworks to enhance response accuracy. Partnered directly with enterprise stakeholders to translate complex business requirements into high-performance technical solutions.

Experience

Senior Software Engineer · Stripe

Seattle, WA · 2024 - Present

  • Scaled core payment processing services by 40% through infrastructure optimization in Go.
  • Engineered a real-time data ingestion pipeline that reduced latency for fintech reporting by 200ms.
  • Collaborated with enterprise clients to implement bespoke API integrations, directly improving transaction success rates by 12%.
  • Managed Kubernetes clusters serving over 50,000 requests per second across regional zones.
  • Mentored four junior engineers, accelerating their productivity by 30% through structured code reviews.

Founding Software Engineer · LangChain

San Francisco, CA · 2022 - 2024

  • Developed an early-stage Retrieval-Augmented Generation (RAG) pipeline to automate customer support resolution.
  • Integrated evaluation frameworks into the CI/CD cycle to improve model response quality by 25%.
  • Participated in 20+ sales calls to gather technical requirements, reducing feature implementation time by 3 weeks.
  • Built a modular agentic framework that reduced prompt latency for end-users by 40%.
  • Migrated legacy prototype services to a production-ready TypeScript environment, sustaining 99.99% uptime.

Software Engineer II · Coinbase

San Francisco, CA · 2021 - 2022

  • Refactored high-traffic wallet synchronization services, leading to a 15% reduction in compute costs.
  • Implemented end-to-end testing suites for React-based interfaces, catching 50+ critical bugs per release.
  • Led a cross-functional squad to deliver a new internal analytics dashboard used by 100+ analysts.
  • Improved database performance by optimizing PostgreSQL queries, reducing report generation time by 50%.
  • Optimized client-side rendering for customer dashboards, achieving a 30% increase in Lighthouse performance scores.

Software Engineer · Auth0

Bellevue, WA · 2020 - 2021

  • Contributed to identity management microservices, increasing throughput by 20% in peak traffic scenarios.
  • Automated deployment workflows using Terraform, reducing manual configuration time by 10 hours per week.
  • Resolved 100+ high-priority production incidents within a 6-month period through systematic debugging.
  • Documented internal API standards, reducing developer onboarding time for new features by 25%.
  • Implemented secure authentication endpoints for web applications, securing data for 1M+ active users.

Education

Master of Science in Computer Science · University of Washington

Seattle, WA · 2018 - 2020

  • Completed thesis on distributed system consistency models in high-concurrency environments.
  • Maintained a 3.9 GPA with academic honors in systems engineering coursework.
  • Collaborated on a cross-departmental project utilizing machine learning for predictive data analysis.

Bachelor of Science in Software Engineering · Georgia Institute of Technology

Atlanta, GA · 2014 - 2018

  • Graduated with highest honors while serving as a lead teaching assistant for algorithms.
  • Developed a custom networking protocol for embedded devices as a senior capstone project.
  • Authored multiple research papers focused on cloud infrastructure optimization.

Skills

Programming Languages:GoTypeScriptPythonSQLGraphQLJava
AI and LLM Systems:RAGLangChainVector DatabasesPrompt EngineeringOpenAI APIPyTorch
Cloud and Infrastructure:AWSKubernetesTerraformDockerCI/CDPrometheus
Frontend Development:ReactReduxNext.jsTailwind CSSTypeScriptWebSockets
Data and Databases:PostgreSQLRedisMongoDBElasticsearchSupabaseBigQuery
Software engineer example
Software engineer example. AI-written for illustration.

Frequently asked questions

Is the example from an employee?

No. It is an AI-written example for this ad, made to show how a resume can answer it.

Do I need to have worked with AI before?

Not necessarily as a requirement. The ad lists AI and Large Language Model experience as preferred under the even better section, but also encourages people to apply even if their experience does not precisely match the job description.

Is this role remote?

No. Sierra describes itself as primarily an in-person company based in San Francisco, though it has growing offices in other locations.

Where do I apply?

On the official Sierra posting, through the job link on this page.

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