Staff Machine Learning Engineer – AI Tech Lead (AI Engineering)

TL;DR

Staff Machine Learning Engineer – AI Tech Lead (AI Engineering): Leading the design and delivery of next-generation Agentic AI systems for Security Operation Center (Agentic SOC) with an accent on AI agent architecture, evaluation, LLM fine-tuning, and production AI infrastructure. Focus on defining technical direction for hirify.global’s agentic AI platform and bringing advanced AI capabilities to customers at a global scale.

Location: Must be authorized to work in the United States at the time of hire and for the duration of employment. At this time, we are not able to offer non-immigrant visa sponsorship for this position.

Salary: $221,000 - $260,000

Company

hirify.global enables customers to deliver reliable and secure cloud-native applications through its hirify.global SaaS Analytics Log Platform.

What you will do

• Lead technical evaluation and adoption of cutting-edge agentic AI platforms and emerging agent frameworks.
• Architect, prototype, and productionize multi-agent AI systems for Agentic SOC use cases.
• Lead AI agent evaluation systems and drive LLM fine-tuning efforts.
• Design scalable LLMOps and AI agent infrastructure.
• Partner with product, security, and data platform leadership and teams to deliver end-to-end AI agent capabilities.
• Define and implement best practices for AI safety, reliability, evaluation, and monitoring.

Requirements

• B.Tech, M.Tech, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related technical field.
• 5+ years of hands-on industry experience building, operating, and leading production ML/AI systems.
• Strong foundation in machine learning, distributed systems, data pipelines, and large-scale system design.
• Deep industry understanding of LLMs, prompt engineering, context engineering, agentic AI design patterns, and reasoning workflows.
• Strong proficiency in Python and modern ML/AI ecosystems.
• Experience designing and operating evaluation frameworks for ML/LLM systems (offline + online).

Nice to have

• Hands-on experience building and scaling agentic AI systems or multi-agent architectures in production.
• Experience with modern agent frameworks such as LangGraph, LangChain, CrewAI, or similar.
• Experience with major foundation model platforms such as Anthropic, OpenAI, AWS Bedrock, or Vertex AI.
• Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation).
• Strong background in LLMOps, including inference optimization, latency/cost management, observability, and production monitoring.

Culture & Benefits

• Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
• Compensation varies based on role level, skills and competencies, qualifications, knowledge, location, and experience.
• Certain roles are eligible to participate in bonus or commission plans, as well as benefits offerings and equity awards.