Join Hansoric

Responsibilities

• • Build and iterate SFT and preference optimization pipelines for production agents
• • Design training data standards, evaluation sets, and regression mechanisms
• • Improve long-context and complex-scheduling capabilities
• • Collaborate with platform engineering on train-to-serve release loops
• • Track online performance and drive data-based iteration

Requirements

• • Hands-on model training experience with Python and mainstream DL frameworks
• • Understanding of SFT, RL, and preference optimization methods
• • Ability to design evaluations and diagnose capability regressions
• • Experience with LLMs, agents, or reasoning tasks is preferred
• • Strong collaboration and documentation skills

Responsibilities

• • Deliver full-stack agent product features from requirements to release
• • Design core capabilities such as orchestration, tool calls, and audit trails
• • Co-build reusable templates and delivery norms with solution teams
• • Establish product metrics and continuously optimize reliability and conversion
• • Drive cross-functional release cadence and quality

Requirements

• • Full-stack engineering experience with TypeScript and backend services
• • Understanding of agent architecture and workflow orchestration
• • ToB product delivery experience and goal-oriented technical decomposition
• • Data-driven optimization mindset
• • Strong cross-team communication and execution

Responsibilities

• • Build inference services, schedulers, and deployment platforms
• • Optimize latency, throughput, and stability for production workloads
• • Implement scheduling, canary release, rollback, and capacity planning
• • Support on-prem/private-network offline deployment and operations
• • Improve observability and incident response efficiency

Requirements

• • Strong Linux, containerization, service governance, and distributed systems fundamentals
• • Experience in inference optimization or high-concurrency service tuning
• • Understanding of GPU or heterogeneous resource scheduling
• • Experience in model serving or private deployment is preferred
• • Hands-on incident response and postmortem capability

Responsibilities

• • Build safety policies, behavior constraints, and risk interception mechanisms
• • Design evaluation systems and track quality performance continuously
• • Standardize governance capabilities in permissions, logging, and auditing
• • Establish review and incident handling processes for high-risk scenarios
• • Produce safety/evaluation standards for iterative delivery

Requirements

• • Experience in safety engineering, evaluation engineering, or QA
• • Understanding of access control, logging audit, and compliance governance
• • Ability to build reproducible datasets and automated evaluation pipelines
• • Strong cross-team coordination to drive governance rollout
• • Healthcare, government, or high-compliance industry background is preferred