Post-Training Engineer (AI)

Location: Mountain View, CA preferred or San Francisco, CA onsite; remote considered

Base salary: $300,000–$350,000 USD per year, plus a 25% performance-based bonus and equity.

Company

hirify.global is an applied AI research lab focused on curating data and reinforcement learning environments for training and evaluating AI agents.

What you will do

• Post-train, fine-tune, and align open-weight and proprietary models for complex enterprise domains.
• Build custom evaluation suites, benchmarks, and calibrated LLM-judge workflows for subjective tasks.
• Curate production datasets using real traces, human labeling, synthetic augmentation, and strict filtering.
• Track and mitigate regression risks across model capabilities and reasoning performance.
• Work directly with product and enterprise stakeholders to translate requirements into evaluation metrics and model behavior.
• Deploy models against demanding latency, cost, privacy, and production reliability targets.

Requirements

• Experience post-training at least one LLM and deploying it to production users.
• End-to-end ownership of benchmarks, evaluation datasets, and success metrics for complex or subjective tasks.
• Strong understanding of regression risks and methods for protecting existing model capabilities.
• Experience collaborating with enterprise customers, product managers, or other non-ML stakeholders.
• Fluency with modern post-training frameworks, data-processing pipelines, and production codebases.
• Ability to own the full lifecycle from raw data and training through deployment and failure analysis.

Nice to have

• Experience post-training conversational, task-oriented, multi-turn, or tool-using agents.
• Experience building LLM judges or reward models and calibrating them against human raters.
• Experience operating production data flywheels from traces through labeling, augmentation, and retraining.
• Hands-on experience with Llama, Qwen, Mistral, or DeepSeek for cost, latency, or privacy optimization.
• Forward-deployed engineering, founder, or early-stage startup experience.

Culture & Benefits

• Health, dental, and vision coverage.
• 401(k) plan.
• Daily onsite lunch.
• Visa sponsorship and relocation support available.
• Opportunity to influence how AI agents are trained and evaluated.