Software Engineer, AI Enablement

Summary

Chime is a financial technology company focused on helping individuals achieve financial progress. As a Software Engineer on the AI Enablement team, you will contribute to internal platforms that support AI tools and collaborate with various teams to ensure safe and effective AI implementation.

Responsibilities

• Contribute to and extend internal AI platforms such as Archimedes, Bosun, and easyRAG, helping teams develop and scale LLM-powered applications and workflows
• Build reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to develop safe, high-quality AI-powered tools
• Prototype and productionize new AI capabilities alongside senior engineers, turning successful patterns into durable platform features
• Apply Chime's golden path patterns for LLM usage, and help refine them as you deepen familiarity with the systems
• Build features that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way
• Learn and apply evaluation, observability, and cost-management practices across AI systems — including quality, latency, safety, and spend
• Partner with Security, Risk, and Legal to implement guardrails for responsible AI development and usage
• Collaborate with engineers across Chime to embed AI into internal tools, workflows, and employee experiences

Skills

• Experience as a software engineer with a track record of shipping production-quality features in a distributed system or platform environment
• Hands-on experience working with LLMs or ML services, or strong curiosity and a demonstrated ability to ramp quickly into AI-specific tooling
• Solid coding skills in at least one of Python, Go, or TypeScript/JavaScript, with comfort working across services, CLIs, and internal tooling
• An emerging platform mindset: you think about reuse and building for more than one consumer, not just solving the immediate problem
• Familiarity with — or eagerness to learn — AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy
• Clear written and verbal communication skills, with the ability to explain technical tradeoffs to teammates and cross-functional partners

Qualifications

Must Haves

• Experience as a software engineer with a track record of shipping production-quality features in a distributed system or platform environment
• Hands-on experience working with LLMs or ML services, or strong curiosity and a demonstrated ability to ramp quickly into AI-specific tooling
• Solid coding skills in at least one of Python, Go, or TypeScript/JavaScript, with comfort working across services, CLIs, and internal tooling
• An emerging platform mindset: you think about reuse and building for more than one consumer, not just solving the immediate problem
• Familiarity with — or eagerness to learn — AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy
• Clear written and verbal communication skills, with the ability to explain technical tradeoffs to teammates and cross-functional partners

Benefits

• Full-time employees are also eligible for a bonus
• Full-time employees are also eligible for a competitive equity package
• In-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location
• Whether you’re coming in regularly or are part of your fully remote program, you’ll stay engaged with your work and teammates
• Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees
• Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life
• Generous vacation policy and company-wide paid days off
• 1% of your time off to support local community organizations of your choice
• Annual wellness stipend to use towards eligible wellness related expenses
• Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• Access to family planning reimbursement
• A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress