Ai/Ml Engineer

TL;DR

AI/ML Engineer (AI Agents): Designing and prototyping intelligent systems and AI applications powered by hirify.global’s data ecosystem with an accent on LLM and agent frameworks. Focus on building agentic systems that combine structured data, language models, and automation, and developing production-quality Python code.

Location: This is a hybrid role working Tuesdays & Thursdays in our Redwood City, CA office. Local candidates only. No relocation. We do not offer work visa sponsorship at any point for this role.

Compensation: $120,576.00 – $162,778.00

Company

hirify.global is a pioneering data intelligence company powered by AI agents and trusted data, helping organizations drive self-service analytics, cloud transformation, data governance, and AI innovation.

What you will do

• Prototype AI Agents with modern LLM and agent frameworks (e.g., LangChain, Pydantic-AI), evaluating and refining their performance.
• Collaborate with technical stakeholders and customers to understand real-world use cases and co-design practical solutions.
• Develop AI-powered agentic systems that combine structured data, language models, and automation to deliver measurable results.
• Write clean, well-structured Python code for integrations, pipelines, and intelligent systems.
• Work directly with product and platform teams to share insights and improve hirify.global’s AI platform.
• Help create reusable templates and patterns to speed up future AI implementations.

Requirements

• Local candidates only; no relocation or visa sponsorship provided for this role.
• 1-3 years of related experience in a startup or rapidly growing business.
• B.S. in Computer Science or a related field.
• Strong Python fundamentals, with experience writing and debugging production-quality code.
• Curiosity and an understanding of LLMs or AI system development, from prompting to evaluation.
• Comfort working with SQL and relational data.
• Clear communication skills and an ability to collaborate with both engineers and non-technical teams.

Nice to have

• Experience deploying AI or ML systems in production (observability, monitoring, iterative improvement).
• Background in forward deployed engineering, solutions engineering, or AI consulting roles.
• Familiarity with data infrastructure and MLOps concepts (APIs, orchestration, containerization, cloud environments).
• Understanding of enterprise data governance and access control principles.

Culture & Benefits

• Be part of a winning team shaping the future of AI-powered data intelligence.
• Hybrid work model with required office attendance on Tuesdays & Thursdays in Redwood City, CA for collaboration.
• Opportunity to learn new frameworks, explore ideas, and solve open-ended problems.
• Work closely with senior engineers and enterprise customers.
• Join a company with over $340M in funding and more than 650 customers, including 40% of the Fortune 100.
• Engage in a fast-paced environment that encourages thinking big and delivering results.