Agentic Context Engineer (AI)

Location: Remote. San Francisco is listed as an additional location.

Company

hirify.global builds AI-powered enterprise analytics that explain the reasoning behind insights and help businesses turn data into decisions.

What you will do

• Lead technical pre-sales engagements, including discovery, customer workshops, solution architecture, proof-of-concepts, and evaluations.
• Own initial post-sales implementation from deal closure through production deployment, including data onboarding, context modeling, validation, enablement, and handoff.
• Design and build scalable context and semantic models, agentic workflows, and integrations across complex enterprise data environments.
• Address integration, performance, governance, security, and scalability requirements with customer data, IT, and security teams.
• Create reusable context models, certified demos, solution patterns, and deployment playbooks.
• Partner with Product and Engineering on platform capabilities and advise customer architects, data leaders, and executives.

Requirements

• 10+ years of experience in enterprise data, AI/ML, solutions engineering, or technical consulting, focused on business impact.
• Bachelor’s or Master’s degree in Engineering, Data, or a related field, or equivalent experience.
• Experience across both customer-facing pre-sales and post-sales engagements.
• Strong foundation in data architecture, data modeling, and scalable AI or analytics solutions.
• Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers.
• Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation.
• Understanding of Generative AI, prompt engineering, RAG, and evaluation sets.
• Familiarity with data governance, security, access controls, and performance optimization in enterprise environments.
• Excellent communication, stakeholder management, and ability to translate technology into business value, with a high-ownership mindset.

Culture & Benefits

• Remote full-time role within the Field Engineering department.
• Work on Generative AI and enterprise data problems with high autonomy in a flat organization.
• Direct influence on the product roadmap and company outcomes.
• Collaborate with an engineering team whose backgrounds include Google, Meta, AWS, Rubrik, and Glean.
• Values emphasize customer trust, outcome ownership, authenticity, first-principles thinking, and transparency.