Design and build production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Compensation
Atlanta, Georgia: $115,000 - $184,000 USD
Responsibilities
Design and build scalable, resilient AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Create secure integration patterns for models, agents, tools, enterprise data, and services so that actions are attributable, authorized, auditable, and observable.
Implement orchestration and runtime patterns, including routers, supervisors, planners, stateful workflows, and asynchronous processing for multi-step AI execution.
Build reusable frameworks for model and tool invocation, context management, error handling, retries, timeouts, and compensating actions.
Integrate identity, permissions, policy enforcement, evaluation, and guardrails directly into AI execution paths.
Engineers in Core AIown the horizontal runtime, intelligence, and improvement capabilities, including agent runtime, evaluation, and self-improving systems.
Compensation
competitive cash compensation and meaningful equity
Responsibilities
Develop the learning data plane around agents: structured trajectories, feedback and outcome signals, offline datasets, lineage, privacy controls, and reliable links between an agent version and its behavior.
Create evaluation systems for task completion, tool use, long-horizon behavior, safety, latency, and cost, and own the credibility of the numbers they produce.
Design experiment and versioning systems for comparing changes through replay, shadow traffic, canaries, or controlled rollouts, with clear promotion and rollback criteria.
Build durable orchestration for long-running tasks, checkpoints, approvals, handoffs, and human-in-the-loop interactions, with typed tool interfaces, protocol-based execution, and memory retrieval that enforces tenant, user, and project visibility boundaries.
Own the execution environments agents run in, including isolation, startup performance, resource limits, and cost, and the policy layer that gates self-modification so a proposed change is staged and tested rather than applied silently.
Build Gravitee's core products and next-generation product surface in Gamma, focusing on API Management, Access Management, or Event Gateway for Kafka.
Compensation
Salary: $180,000
Responsibilities
Design and deliver features end to end, from technical design through implementation, testing, release, and iteration
Build and evolve Java services and APIs, including performance-sensitive, asynchronous code in the runtime
Contribute to the customer experience in the Gamma console, across backend APIs and TypeScript and Angular interfaces
Keep security behavior and upgrades safe: secure defaults, certificate and secret handling, audit logs, safe migrations, and backward compatibility
Own US-hours Level 3 and Level 4 escalations for your product as part of the L3 pager duty rotation
Requirements
Nice to have: reactive Java (Vert.x, RxJava, Netty)
Nice to have: API gateway, proxy, or service-mesh vendor or platform team (Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2)
Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Implement secure integration patterns for models, agents, tools, enterprise data, and services, with attention to authorization, auditability, and observability.
Contribute to orchestration and runtime capabilities, including routing, stateful workflows, and asynchronous processing for multi-step AI execution.
Build reusable components for model and tool invocation, context management, error handling, retries, and timeouts.
Apply established patterns for identity, permissions, policy enforcement, evaluation, and guardrails within AI execution paths.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Compensation
Atlanta, Georgia: $92,000 - $147,000 USD
Responsibilities
Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Implement secure integration patterns for models, agents, tools, enterprise data, and services, with attention to authorization, auditability, and observability.
Contribute to orchestration and runtime capabilities, including routing, stateful workflows, and asynchronous processing for multi-step AI execution.
Build reusable components for model and tool invocation, context management, error handling, retries, and timeouts.
Apply established patterns for identity, permissions, policy enforcement, evaluation, and guardrails within AI execution paths.
Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
Implement secure integration patterns for models, agents, tools, enterprise data, and services, with attention to authorization, auditability, and observability.
Contribute to orchestration and runtime capabilities, including routing, stateful workflows, and asynchronous processing for multi-step AI execution.
Build reusable components for model and tool invocation, context management, error handling, retries, and timeouts.
Apply established patterns for identity, permissions, policy enforcement, evaluation, and guardrails within AI execution paths.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
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