WHAT WE'RE LOOKING FOR 

EarnIn is building the next generation of AI-powered experiences that help millions of people access their pay and improve their financial well-being. We’re looking for a self-driven engineer eager to grow, learn quickly, and expand their impact by building high-quality systems and agent-driven GenAI workflows. This role is for a builder who is ready to move beyond foundational work and take significant ownership. We are looking for someone who takes initiative, deeply values craft, and is eager to push the boundaries of how engineers collaborate with AI agents.

The US base salary range for this full-time position is $181,000 to $222,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This hybrid position requires in-person work from our Mountain View HQ 2 days a week. 

WHAT YOU'LL DO

• Build and ship agent-driven chatbot and GenAI workflows that deliver real customer impact.
• Own meaningful features end-to-end, from definition through design, all the way to implementation, evaluation, and impact measurement.
• Work hands-on with modern AI development tools (e.g., Cursor, Codex, Claude-style assistants).
• Collaborate with product, ML, and engineering teams in a fast-moving, ownership-driven culture.
• Continuously explore better ways to design, iterate, and improve how we build with AI.

WHAT WE'RE LOOKING FOR 

• 3+ years of experience in software engineering
• A bachelor’s, or equivalent industry experience
• A strong foundation in software engineering and thoughtful system design.
• Experience writing code that is reliable, durable, and easily maintained.
• Experience in proactively identifying problems, learn quickly, and taking the initiative.
• Curiosity and a growth mindset with a focus on and experience stretching beyond what you already know.
• Excitement about GenAI, agents, and the future of AI-assisted software development. Hands-on experience is a plus. ]
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

POSITION SUMMARY

We are seeking experienced, passionate, and resourceful front-end Senior developers to join our Product Engineering teams. As a developer, you will collaborate cross-functionally with teams to design and develop our applications. Being customer-facing, our Engineering teams play a crucial role in shaping the customer’s impression of our company. This position will ideally be a hybrid role from our Bengaluru office, as part of our expanding site presence. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.

WHAT YOU'LL DO

• Collaborate with the product and design team to create new user experiences and features.
• Create a scalable web architecture that ensures the organization remains nimble as it grows.
• Create Unit and Automation (User Interface) Tests to ensure the new code does not break existing features and meets the product's specified requirements.
• Create and monitor analytics to demonstrate the effectiveness of new and existing features in helping customers.
• Design, develop, and deliver large-scale systems.
• Design and execute comprehensive unit and UI automation tests to ensure new features perform as required without disrupting existing functionalities.
• Analyze feature effectiveness using advanced analytics to demonstrate impact and inform future enhancements.

WHAT WE'RE LOOKING FOR

• Bachelor’s (or higher, e.g., MS, or PhD) in Computer Science or a related technical field involving coding or equivalent technical experience
• Excellent knowledge of front-end web programming languages, such as HTML, CSS, JavaScript, Typescript, and ReactJS, with the ability to render server-side and client-side content
• Proficient in C# .NET or Kotlin or other popular back-end programming language with a minimum of 2 years of hands-on experience
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• 4+ years of relevant industry experience, particularly in mobile development.
• Hands-on experience working in cloud environments: AWS, GCP, or Azure
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)

#LI-Hybrid

POSITION SUMMARY

As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems’ health and scalability is critical.

To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location.

• Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
• Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
• Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
• Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

WHAT WE'RE LOOKING FOR 

• MS degree or PhD degree in Computer Science or a related technical field
• 4+ years of experience in ML engineering
• Strong programming skill in Python and data engineering skills
• Extensive knowledge of machine learning algorithms
• Hands-on experience on architectural patterns for large-scale software applications
• Industry experience building and productionizing machine learning systems
• Strong oral and written communication skills
• Experience in NLP or CV is a plus
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

POSITION SUMMARY

We are seeking experienced, passionate, and resourceful senior engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.

This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

• Design & implement features robust enough for our large scale.
• Drive the implementation of new features—break complex problems down to their bare essentials, translate that complexity into elegant design, and create high-quality, maintainable code.
• Create and maintain test automation to enable continuous integration and development velocity.
• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
• Work cross-functionally with other teams (data science, design, product, marketing, analytics).
• Leverage a broad skill set and help us implement and learn new technologies quickly.
• Provide and receive design and implementation evaluations and improve with each iteration.
• Debug production issues across our services infrastructure and multiple levels of our stack.
• Think about distributed systems & services and care passionately about producing high-quality code.

WHAT WE'RE LOOKING FOR

• 4+ years of development experience in Software Engineering
• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
• Proficient in at least one modern programming language such as C#, Kotlin, Java, Python, Go, and Scala.
• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
• Experience with continuous integration and delivery tools.
• Experienced in developing and executing functional and integration tests.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.
• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.
• Experience in payments or fintech is a plus
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

POSITION SUMMARY

We seek an experienced, collaborative, and resourceful Senior Web Engineer to join our team. Our Early Bets initiatives are critical to EarnIn’s success, providing new experiences and products for our users to ensure they are empowered with a more comprehensive ecosystem of solutions. We seek engineers who thrive in uncertainty and excel at defining technical solutions in ambiguous environments and collaborating closely with Product teams to refine requirements. The ideal candidate has experience building 0-to-1 products, demonstrating a strong ability to design and implement scalable architectures that support rapid product evolution. Candidates with backgrounds in early-stage software products engineered for scale or those who have worked in Research & Development for new technologies will fit well in our team.

The base salary range for this full-time position is $210,000 - $257,000 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

WHAT YOU'LL DO

• Partner with Product and Design to define, build, and evolve user experiences using modern frontend technologies.
• Own and evolve the frontend architecture to ensure scalability, performance, accessibility, and long-term maintainability.
• Lead the design and implementation of complex frontend systems using React, TypeScript, and Next.js, including SSR, routing, data fetching, and performance optimization.
• Establish and uphold frontend engineering standards, including patterns, tooling, testing strategies, and CI/CD best practices.
• Drive cross-team technical initiatives, aligning frontend architecture with backend APIs, platform capabilities, and product strategy.
• Proactively identify technical risks and opportunities, providing clear technical direction and tradeoff analysis.
• Mentor and guide frontend engineers, raising the bar on code quality, architectural thinking, and delivery practices.
• Design and implement robust unit, integration, and UI automation tests to ensure reliability and confidence at scale.
• Define and monitor frontend metrics (performance, reliability, user behavior) to inform product and technical decisions.

WHAT WE'RE LOOKING FOR

• Bachelor’s (or higher, e.g., MS, or PhD) in Computer Science or a related technical field involving coding or equivalent technical experience
• Expert-level proficiency in modern frontend development, including HTML, CSS, JavaScript, TypeScript, React, and Next.js.
• Strong experience with frontend architecture, including state management, component design, design systems, micro-frontends (or modular architectures), and performance optimization.
• Experience building and operating production web applications using server-side and client-side rendering.
• Deep understanding of software engineering best practices across the SDLC, including testing, code reviews, observability, and operational excellence.
• 4+ years of industry experience, with significant depth in frontend or web platform development.
• Experience working in cloud-based environments (AWS, GCP, or Azure), particularly as it relates to frontend delivery and integration.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

#LI-Hybrid

POSITION SUMMARY

We are seeking a Senior iOS Engineer to lead the development and scaling of new and existing product experiences. You will drive feature development, serve as an architect, optimize performance, and ensure a seamless user experience to bring innovative ideas to life in a fast-paced environment. This position will be hybrid from our Mexico City office as part of our expanding site, with two days a week in the office required. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position. We are unable to provide visa sponsorship or immigration support for this position.  

• Drive the development and implementation of complex product features that significantly impact customer experience and business outcomes.
• Potentially achitect, lead, and optimize mobile infrastructure, ensuring exceptional scalability, performance, and reliability to support the organization's strategic growth.
• Lead collaborative efforts with backend engineers to define and evolve robust, efficient, and well-documented APIs for seamless mobile-to-server communication.
• Champion and enforce engineering best practices across teams, raising the standards for code quality, system design, and operational excellence.
• Proactively identify and drive strategic technical initiatives, providing clear vision, architectural guidance, and effective problem-solving for complex challenges.
• Potentially architect and oversee the development of comprehensive unit, integration, and UI automation testing strategies to guarantee the quality and stability of new features and the resilience of existing functionalities.
• Define and analyze key performance indicators using advanced analytics to measure feature effectiveness, identify areas for improvement, and drive data-informed decisions for future product enhancements.

• Bachelor’s degree (or higher) in Computer Science or a related field, or equivalent practical experience.
• 4+ years of relevant industry experience, with a significant portion focused on mobile development and a track record of leading complex projects.
• Expert-level proficiency in Swift, with deep expertise in modern iOS paradigms (Combine, Swift Concurrency, SwiftUI, etc).
• Extensive and nuanced understanding of iOS application architectures (MVVM, MVP, VIPER, etc.) and their trade-offs.
• Proven ability to architect scalable and maintainable mobile solutions.
• Some experience in mentoring and guiding other engineers, fostering technical growth within the team.
• Familiarity with Android development and cross-platform technologies is a strong plus.
• Active participation in the broader iOS development community (e.g., open-source contributions, conference presentations) is a plus.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) 

 We are seeking a motivated Backend Engineering Intern to join our 12-week internship program. In this role, you will work on real-world backend systems, contribute to production services, and collaborate closely with engineers, product managers, and cross-functional partners. The Offers team is a fast-growing, high-impact area at EarnIn, focused on building systems that deliver personalized, scalable value to our community members. This is an opportunity to gain hands-on experience building backend services, working with modern microservice architectures, and solving problems at scale in a fast-paced fintech environment.

This role requires hybrid work from our Mountain View office, with 2 days per week in person. The internship pays $30/hour, with an expected 40 hours per week over the 12-week program. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO 

• Contribute to the design, development, and maintenance of backend services for the Offers platform
• Build APIs and services that power user-facing features and partner integrations
• Collaborate with product, design, data science, and analytics teams to deliver end-to-end solutions
• Write clean, maintainable, and efficient code following engineering best practices
• Participate in code reviews, testing, and debugging to ensure high-quality software
• Gain exposure to distributed systems, microservices architecture, and cloud infrastructure
• Learn and apply industry-standard tools and technologies used in large-scale systems

WHAT YOU'LL LEARN 

• How to build backend systems that power real-world financial products at scale
• Designing and developing APIs and services with production-quality standards
• Fundamentals of scalable system design and microservice architecture
• Writing clean, maintainable, and efficient code in a collaborative codebase
• Working cross-functionally with product, design, and data partners to ship features end-to-end
• Debugging, testing, and improving system reliability in a live production environment

WHAT WE'RE LOOKING FOR 

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science or a related technical field
• Strong foundation in computer science fundamentals, including data structures, algorithms, and debugging
• Proficiency in at least one programming language such as Java, Kotlin, Python, Go, or similar
• Familiarity with backend development concepts such as APIs and databases
• Exposure to relational or NoSQL databases (e.g., Postgres, MySQL, DynamoDB) is a plus
• Demonstrated curiosity and willingness to learn
• Ability to make thoughtful decisions and clearly communicate tradeoffs and ideas
• Strong written and verbal communication skills
• Prior internship experience is a plus, but not required

#LI-Hybrid 

POSITION SUMMARY

As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is key. To guarantee the success of machine learning systems, we need to provide a detailed formulation, extensive experimentation, and to transform ML models into high-performance production-level code, including not only implementing sophisticated machine learning algorithms but also robustness monitoring and system logging/alarming. 

 We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realize business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO 

• Train and fine-tune large-scale Foundation Models to support various fintech product use cases
• Work with a large dataset, including structured and unstructured data
• Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
• Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

WHAT WE'RE LOOKING FOR

• Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field
• Located in Mountain View, or have the ability to relocate there, for the duration of the internship 
• Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models 
• Interest in multimodal or multitask learning across structured, sequential, and behavioral data
• Familiarity with AI tools, harness engineering, agentic workflow, etc.
• Hands-on programming experience in Python and ML frameworks such as PyTorch
• Equipped with good verbal and written communication skills
• A background demonstrating strong problem-solving skills
• Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases.

Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows.

Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management.

Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows.

Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation
  
  

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams.

Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage
  
  

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management
  
  

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows
  
  

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics.

Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria.

Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness.

Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation.

Work effectively with globally distributed teams to coordinate testing across time zones.

WHAT WE'RE LOOKING FOR

• 4+ years of experience in web and mobile testing, with a strong emphasis on test automation.
• Proven expertise in designing and maintaining scalable test automation frameworks.
• Hands-on experience with mobile testing frameworks such as XCUITest (iOS) and Espresso (Android), and web frameworks like Playwright.
• Strong understanding of testing across microservices, APIs, and distributed systems.
• Ability to analyze and debug complex test failures, automation issues, and defects efficiently.
• Familiarity with generative AI applications in quality engineering (test case generation, API contract validation, log intelligence, etc.).
• Passion for leveraging AI to reduce manual effort, increase coverage, and accelerate release cycles.
• Proven experience supporting weekly release cycles with a mix of manual and automated regression testing.
• Strong analytical, debugging, and problem-solving skills
• Experience using or implementing AI/ML-powered testing tools is a significant plus
• Experience collaborating with global teams across multiple time zones.
• BS in Computer Science, Computer Engineering, or equivalent professional experience.

Nice to Have:

• Experience supporting mobile app store release processes (App Store / Play Store), release candidate validation, phased rollouts, and post-release monitoring.
• Familiarity with crash reporting tools, release health dashboards, and rollback strategies.