Software Engineer - FinLab
McKinsey & Company
Software Engineer - FinLab
Job ID: 104051
Your Impact
Your Growth
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- 3+ years of professional or internship experience in computer science, design, information systems, electrical engineering or related discipline; master's degree is a plus
- Expert proficiency in modern web technologies (JavaScript, React/Angular, HTML/CSS, Node) and a strong foundation in Python for backend development and intelligent automation
- Experience with, or a strong desire to master, modern AI development frameworks like Langchain for orchestrating autonomous workflows, platforms like Amazon Bedrock for leveraging foundation models, and libraries like PydanticAI for ensuring structured, reliable data outputs
- Proven ability to architect and deploy complex AI systems by leveraging critical tooling, including frameworks for Agent-to-Agent (A2A) communication, interoperability standards like MCP, and integrating essential components like vector databases for memory and observability tools for tracing and evaluation
- A strong command of UI/UX principles, applied not only to building clean user interfaces but also to designing intuitive human-in-the-loop workflows for overseeing and interacting with AI agents
- Experience with data visualization (e.g., D3.js) to not only represent analytics but also to create dashboards for monitoring and observing the behavior of autonomous AI agents
- Experience with web testing, debugging, API integration, analytics, and KPI optimization
- Exposure to responsive and/or native mobile development
- Proven record of leadership in a work setting and/or through a personal project portfolio
- An active GitHub and/or personal web portfolio showcasing relevant web development, workflow automation, or applied AI projects
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.
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Job Skill Code - SCOA - Software Engineer I
Function - Technology
Industry - Financial Services;High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Jul 23 00:00:00 GMT 2025
LinkedIn Posting City - Sao Paulo
LinkedIn Posting State/Province -
LinkedIn Posting Country - Brazil
LinkedIn Job Title - Software Engineer - FinLab
LinkedIn Function - Consulting
LinkedIn Industry - Financial Services
LinkedIn Seniority Level - Entry level