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

This Staff / Senior Staff Software Engineer role sits on an Enterprise AI Enablement team building reusable AI foundations that power enterprise workflows. You will design, implement, and operate production-grade AI systems (LLM-driven, retrieval, and agentic architectures) used across the business. Work is end-to-end — from customer discovery through prototyping, production deployment, telemetry, and iterative improvement.

• Architect, build, and ship applied AI solutions across high-value workflows (automation, document intelligence, decision support, fraud detection, intelligent assistants).
• Design and implement agent orchestration systems: harness management, context handling, tool binding, reasoning steps, and business logic execution.
• Build knowledge retrieval and RAG-style pipelines: indexing, embeddings, vector storage, and relevance ranking to supply agent context.
• Rapidly prototype POCs and drive them to MVP and production while maintaining operational reliability.
• Create reusable platform capabilities and tools that enable other teams to adopt AI solutions consistently.
• Write clean, tested code and unit tests; participate in and lead code reviews.
• Improve existing systems for performance, reliability, and observability; establish guardrails and compliance patterns.
• Lead technical design discussions and prepare design documents; conduct impact analysis across applications.
• Mentor and coach engineers; contribute to hiring and team growth.
• Participate in an on-call rotation and respond to production incidents as needed.
• For Senior Staff level: advise senior leadership on where AI should be applied, and drive strategic build vs. buy vs. reuse decisions across the portfolio.

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Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• Staff: minimum ~8 years software engineering experience. Senior Staff: minimum ~10 years software engineering experience or comparable depth.
• Proven experience leading technical direction for teams across multiple applications.
• Demonstrated experience engineering AI systems — LLM-driven and agentic architectures, orchestration frameworks, and tool integration.
• Strong software engineering fundamentals: object-oriented design, design patterns, data modeling, messaging and system integration.
• Experience taking ideas from prototype to production in enterprise environments.
• Track record building mission-critical enterprise applications with high reliability and observability.
• High ownership, ability to operate in ambiguity, and strong bias for action.
• Experience mentoring and coaching engineers.
• Willingness to participate in an on-call rotation.

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Preferred Qualifications

• Experience designing and shipping production AI retrieval systems (RAG, GraphRAG) and embedding pipelines.
• Experience operating generative AI systems in production at scale (observability, reliability, guardrails, compliance).
• Deep knowledge of vector databases, feature stores, data contracts, semantic layers, and knowledge representation patterns.
• Experience building context layers for agentic systems: multi-source blending, context-window management, relevance scoring, and context-quality evaluation.
• Advanced facility with modern IDEs and productivity tooling.

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Working Conditions & Location

• This role is remote/telecommute with a primary job location of the Los Angeles Metropolitan Area. The role may require occasional, planned travel to an assigned office (original posting references a Southfield, Michigan office as an example); travel frequency will depend on team needs.
• U.S.-based employment required. The position may include an on-call rotation.
• The confidential client values a collaborative, customer-centric engineering culture focused on professional development and continuous improvement.

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Culture & Why This Role Matters

• Join a team that builds platforms for leverage — design once, enable many teams to move faster and more consistently.
• Work at the intersection of engineering excellence and customer empathy to deliver AI solutions that impact dealers, consumers, and internal teams.
• Influence strategic decisions about how AI is adopted across the enterprise and mentor others to raise engineering quality.

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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.