Providing critical support for enterprise mainframe applications within a 24x7 production environment, involving root cause analysis, debugging, and collaboration with development teams.
Compensation
$55.06 - $63.06 per hour
Responsibilities
Provide production support for critical mainframe applications in a 24x7 on-call support environment with off-hours rotation
Perform in-depth analysis of production incidents to identify root causes and implement permanent solutions
Troubleshoot and resolve application, database, batch, and online transaction issues
Analyze and debug COBOL programs, JCL, IMS DB/DC, DB2, CICS, VSAM, and batch processing failures
Review application code and collaborate with development teams to identify defects and recommend fixes
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.
Engineer in the customer room and product engineer who ships what the room needs, turning enterprise problems into clear technical designs and measurable outcomes.
Compensation
Receive competitive cash compensation and meaningful equity in the company you are helping build.
Responsibilities
Turn ambiguous enterprise problems into clear technical designs, working software, and measurable outcomes.
Build product surfaces for agent conversations, tasks, progress, approvals, artifacts, and operational workflows.
Design APIs and relational data models that accurately represent the customer’s domain.
Build agent instructions, tool interfaces, connector interactions, and durable workflow steps with explicit permission and failure behavior.
Navigate enterprise requirements around authentication, authorization, tenant isolation, data handling, deployment, observability, and change management.
Build the product interfaces, backend services, and internal tools that support an AI reinforcement learning data platform.
Locations (2)
San Francisco, California, United States
Singapore, Singapore
Compensation
Base salary is $130,000 to $225,000 USD annually. Visa sponsorship and relocation support are available for eligible full-time candidates moving to the United States or Singapore.
Responsibilities
Develop tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
Build partner workflows for creating, submitting, testing, and iterating on reinforcement learning environments and training data.
Create dashboards and observability tools for environment quality, evaluation results, data collection progress, and pipeline health.
Design backend services and APIs that connect task authoring, data collection, evaluation, quality review, and training systems.
Collaborate across research, operations, and go-to-market teams to ship and improve products.
Senior GenAI Engineering Lead — Planning & Execution (Python)
Lead a small engineering team to design, build, and deliver the planning and execution layer of an AI platform, driving roadmap, architecture, and production operations.
Compensation
Competitive Compensation: Tailored to your experience and skill set.
Responsibilities
Own the roadmap and delivery
Evolve the platform architecture
Advance planning and orchestration
Deliver reliable, observable execution
Lead a small development team
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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