Lead the design, development, and deployment of AI-powered experiences for Remitly’s Scout team, enabling money transfer functionality across multiple platforms.
Compensation
The starting base salary range for this position is typically $180,000-$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan.
Responsibilities
Gather and analyze requirements
Design, code, and test APIs, data storage solutions, and integration with third-party services
Work with the team to quickly resolve problems and maintain system stability
Collaborate with cross-functional partners including product/program managers, marketing, compliance and legal specialists
Guide the team's technical strategy while leading, shipping features and systems
Lead the design, development, and governance of AI-enabled software engineering workflows within JPMorganChase’s Consumer and Community Banking Digital Technology team.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Creates complex and scalable coding frameworks using appropriate software design frameworks
Develops secure and high-quality production code, and reviews and debugs code written by others
Architects and governs agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
Advises cross-functional teams on technological matters within your domain of expertise
Requirements
Formal training or certification on software engineering concepts
Nice to have: Computer Science
Nice to have: Computer Engineering
Nice to have: Mathematics
Nice to have: Advanced knowledge of software architecture
Play a crucial role in the development, integration, and lifecycle management of next-generation semiconductor manufacturing technology with opportunities to work with advanced optical and laser systems.
Compensation
Base Salary: $190,000 - $215,000
Responsibilities
Translate customer, process, performance, safety, and business needs into clear system and subsystem requirements, functional specifications, and acceptance criteria.
Develop and maintain system architectures, theories of operation, functional breakdowns, and interface definitions.
Define intended tool behavior, operating sequences, control requirements, and error-recovery strategies.
Conduct error budgeting, architecture tradeoff analysis, gap analyses, and engineering assessments.
Drive continuous improvement (CIP) initiatives to reduce cycle time and optimize performance.
Requirements
Bachelor’s degree in Optics Engineering, Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related field
Master’s degree
PhD
Nice to have: Optics and laser design or process experience
Senior IT professional responsible for analysis, development, enhancement, administration, and support of mission-critical applications and database systems for the Division of Blind Services.
Compensation
Salary: $60,000.00 to $66,000.00 Annually
Responsibilities
Perform business analysis for mission-critical systems
Design, develop, implement, maintain, troubleshoot, and support client/server, web-based, and data integration applications
Create and maintain technical documentation
Plan, coordinate, test, and implement system upgrades and enhancements involving SQL Server, .NET applications, Visual Studio, IIS, web services
Perform database analysis, administration, performance tuning, and optimization
Requirements
Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field
A senior technical leadership role responsible for ensuring the successful delivery, quality, maintainability, and long-term ownership of RTV's technology platforms, combining deep technical expertise with strong people leadership.
Responsibilities
Establish and maintain engineering standards, development practices, and quality frameworks across RTV technology initiatives.
Evaluate and oversee the use of modern development practices including AI-assisted software development by vendors and internal teams.
Establish standards for code review, testing, documentation, and validation of AI-generated artifacts.
Ensure AI-assisted development does not compromise security, maintainability, quality, or architectural consistency.
Provide technical leadership and mentoring to engineers and technical contributors.
Requirements
8–12+ years of professional software engineering experience
Nice to have: AI-assisted software development governance
Hands-on senior engineer and architect to turn agentic AI work into secure, scalable products inside the TrustX platform, setting technical direction and writing code across architecture, AWS, identity, security and APIs.
Responsibilities
Design and build agentic AI capabilities for TrustX
Evolve the Agent Gateway and MCP architecture and the services around it
Design how AI agents, users, applications and outside services connect securely, including authentication, authorization, delegation and trust for both people and non-human identities
Build cloud-native services and APIs, mainly on AWS
Evaluate new agent protocols, identity standards and AI technologies, and decide what belongs in the product
As an early team member, you will get a chance to shape both the foundations of the product, backend architecture, and team culture. Our client will measure your success by your ability to ship fast, learn quickly, and contribute to our culture of continuous improvement.
Compensation
Competitive equity as a founding employee of a startup funded by top tier investors
Responsibilities
Design and build server-side Human L1 and blockchain architecture (using Golang, Cosmos SDK, AWS, Azure)
Write technical documentation
Manage the server-side technical team
Develop and manage well-functioning decentralized databases
An experienced, AI-native Staff Software Engineer to lead end-to-end product engineering initiatives in a fast-paced, high-growth marketplace environment, combining strong technical expertise, product thinking, and AI-powered development practices.
Compensation
Annual base salary ranging from USD $85,000 to $125,000, depending on experience and qualifications.
Responsibilities
Lead engineering initiatives from problem definition and technical discovery through architecture, implementation, production deployment, and post-launch performance evaluation
Own the technical approach for assigned initiatives, including system architecture, data models, integrations, rollout strategies, observability, and rollback plans
Leverage AI coding agents such as Claude Code, Cursor, Codex, and equivalent tools to accelerate implementation
Establish and maintain robust testing strategies, evaluations, code review processes, and validation mechanisms
Work closely with Product Managers to define scope, prioritize requirements, and evaluate trade-offs
Help build and improve the systems and workflows that enable organizations to prepare for, manage, and learn from critical technology incidents. Design and deliver scalable software solutions that strengthen operational resilience, improve service reliability, and support effective incident coordination.
Compensation
Annual base salary: $127,800 to $339,000, depending on geographical location, experience, technical knowledge, skills, and qualifications.
Annual bonus: Eligibility for additional annual bonus compensation, depending on role and individual impact.
Equity compensation: Stock-based rewards for eligible positions.
Responsibilities
Design, develop, and continuously improve software services, integrations, and workflows that help teams prepare for, coordinate, respond to, and learn from technology incidents.
Build and deploy AI-powered agents, skills, and intelligent workflows that integrate with production systems and observability tools to provide relevant context, accelerate troubleshooting, and reduce repetitive operational tasks.
Develop solutions that improve incident investigation, mitigation, and coordination while continuously evaluating their effectiveness through feedback, performance metrics, and operational outcomes.
Drive architectural decisions and contribute to the design of secure, resilient, scalable, and high-quality systems through technical proposals, prototypes, and code reviews.
Take ownership of engineering initiatives from initial problem identification and solution design through implementation, deployment, measurement, and ongoing maintenance.
As a Senior Software Engineer, you will play a key role in building and scaling an innovative AI agent development platform designed for enterprise environments. You will contribute to the core distributed systems that enable AI agents to operate reliably, securely, and at scale using real-time operational data.
Compensation
Competitive base salary ranging from $126,000 to $264,000 USD, depending on experience, qualifications, skills, and work location.
Responsibilities
Design, develop, and scale core components of a next-generation AI agent platform, including the developer CLI, SDKs, runtime, memory, retrieval, identity, and governance layers.
Build reliable, high-performance distributed systems and cloud services capable of supporting enterprise AI applications at scale.
Collaborate with research, product management, engineering, and design teams to deliver the platform's initial capabilities and drive its continuous evolution.
Develop well-tested, maintainable software while contributing to architectural decisions, code reviews, and engineering best practices.
Improve platform performance, scalability, reliability, and security across complex and highly concurrent systems.
Associate degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related discipline
Bachelor's degree in a related technical discipline
Master's degree
Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field
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