About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Media.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is building enterprise AI capabilities that power customer workflows across the organization. As a Software Engineer on the Enterprise AI Enablement team, you will design, build, and ship reusable AI engineering systems — from prototype to production — that support automation, document intelligence, decision support, fraud detection, and intelligent assistants.

• Architect, build, and deploy applied AI solutions and end-to-end systems (POC → MVP → production).
• Design agent orchestration frameworks that manage context, tool binding, reasoning, and business logic.
• Implement knowledge-retrieval architectures (indexing, embeddings, relevance scoring) to feed agent contexts.
• Build reusable platform components, tools, and SDKs designed for broad enterprise adoption.
• Write clear, maintainable code and unit tests; validate software against acceptance criteria.
• Improve system reliability, observability, and production guardrails for AI services.
• Lead code reviews, author technical design documents, and document projects for long-term maintenance.
• Debug production incidents, propose effective cross-application solutions, and participate in on-call rotation.
• Collaborate closely with product and business stakeholders to convert ambiguous problems into impactful, measurable outcomes.
• Mentor and coach junior engineers; contribute to hiring and technical evaluation activities.
• (Senior Staff) Act as a trusted technical advisor to leadership, framing trade-offs and guiding build-vs-buy decisions.

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Where You’ll Work

• This role is TELECOMMUTE (remote-first). Occasional planned travel to an assigned Southfield, MI office may be required; candidates may elect to work from that office if preferred.
• Applicants should be authorized to work in the U.S.

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Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a closely related field — OR equivalent experience.
• Staff level: Minimum ~8 years of relevant software engineering experience (or comparable depth).
• Senior Staff level: Minimum ~10 years of relevant software engineering experience (or comparable depth).
• Demonstrated experience leading technical direction for teams or cross-application initiatives.
• Practical experience engineering AI systems, including LLM-driven/agentic architectures, orchestration frameworks, and tool integration.
• Proven track record of taking prototypes to production at enterprise scale.
• Strong competency in one or more object-oriented languages and software design patterns.
• Practical experience in data modeling, messaging systems, and mission-critical enterprise applications.
• High ownership, comfort with ambiguity, and a bias for action.
• Willingness to participate in an on-call rotation and respond to production incidents.
• Demonstrated ability to coach and mentor engineers.

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Preferred Qualifications

• Experience designing and shipping retrieval systems (RAG, GraphRAG) and production embedding pipelines.
• Familiarity with vector databases, feature stores, and AI-oriented data architectures.
• Prior work on agent context layers (multi-source blending, context-window management, relevance scoring).
• Deep knowledge of operating AI systems in enterprise environments (reliability, observability, compliance, guardrails).
• Experience with orchestration for agentic systems and integrating tools/APIs for multi-step reasoning.
• Strong proficiency with modern IDEs, rapid prototyping, and testing practices.

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Competencies & Culture Fit

• Customer Empathy — build solutions with a clear understanding of the user workflow and pain points.
• Engineering Excellence — deliver high-quality, well-tested systems that scale.
• One Team — collaborate across functions and share ownership of outcomes.
• Owner’s Mindset — take accountability for long-term success and technical health.

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What We Offer

• Opportunity to lead and shape enterprise AI systems used across the business.
• Remote-first role with occasional in-person collaboration and travel.
• A collaborative engineering culture that values mentorship, continuous learning, and pragmatic delivery.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.