
Sr. Applied AI Engineer
Palo Alto, CAJob$162–204K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
Insight Global seeks senior applied AI engineers for an automotive electric‑vehicle client, contributing across the AI stack from data pipelines to prompt and agent logic, while ensuring responsible AI practices, collaborating with cross‑functional partners, and driving measurable business value.
Skills & qualifications
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Full job description
Job Description
Insight Global is looking for Senior Applied AI Engineers to join an automotive customer in the electric vehicle space. As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to prompt/agent logic, evaluation/guardrails, and serving. You will collaborate closely with partners across Operations, Product, Sales, Customer Service, Finance, HR, and other internal teams to understand needs and deliver practical solutions that create tangible business value. You will develop responsibly, partnering with governance stakeholders on privacy, security, compliance, and safety.
Responsibilities
Build features and services across the AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability. Implement robust data processing and integration pipelines to enable high-quality AI applications and analytics. Contribute to design docs, code reviews, testing, and operational playbooks to ensure reliability, maintainability, and resilience. Partner with product and business stakeholders to define requirements, iterate quickly, and measure outcomes using clear success metrics. Instrument telemetry and evaluation to monitor quality, safety, latency, and cost; improve performance based on data. Follow responsible AI practices for security, privacy, compliance, and safety in collaboration with governance teams. Participate in on-call and incident response rotations as appropriate; drive post-incident improvements. Share learnings via demos and documentation; contribute to AI literacy and enablement across the org.
Salary range is based on experience: $161,600-$203,500
Skills and Requirements
-BS/MS in Computer Science or a related field, or equivalent experience. -Practical software engineering experience building backend services, APIs, or data-intensive applications; strong foundations in algorithms, data structures, and systems. -Exposure to or hands-on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization. -Proficiency with modern software delivery practices (version control, CI/CD, testing, observability); familiarity with cloud-native services and containerization. -Ability to collaborate with product and business partners; strong written and verbal communication skills. -Bias to ship, learn, and iterate; comfortable working in fast-evolving technology areas with incomplete information. -Demonstrated ownership of services or platform components, end-to-end delivery of cross-service initiatives, and contributions to reliability/SLOs and operational excellence.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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