
Sr. AI System Full Stack Engineer
New York, NYJobSeen todaySeen in employer's feed today
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Job overview
The Senior AI System Full Stack Engineer will build and scale applications that embed artificial intelligence into business and operational workflows. The hands-on role spans web interfaces, backend services, APIs, data pipelines, cloud infrastructure, and AI orchestration. The engineer will develop enterprise-grade systems to host, monitor, scale, and protect resilient, cloud-native AI platforms across the SRE AIOPS team.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
We are seeking a Senior AI System Full Stack Engineer with a strong background in DevOps, Kubernetes and Python development to build and scale applications to embed artificial intelligence into practical business and operational workflows. This hands-on role spans modern web interfaces, backend services, APIs, data pipelines, cloud infrastructure, and AI orchestration.
Instead of just consuming AI models, you will engineer the enterprise-grade ecosystem that hosts, monitors, scales, and protects our next generation of resilient, cloud-native, AI-enabled platforms that drive innovation across the SRE AIOPS team.
Skills and Requirements
7+ years of a programming languages such as Java, Golang, Python, JavaScript
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2+ years of experience architecting, designing, and optimizing search and information retrieval systems at scale.
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6 months to 1 year of hands-on experience building agentic products or solutions, including tool-using agents, conversational agents, long-running agents, reasoning/planning agents, or similar systems.
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Experience with multiple modern agent frameworks is preferred. Specific frameworks are less important than demonstrated fluency, but exposure to tools such as OpenAI Agents SDK, LangGraph, Google ADK, SmolAgents, or comparable frameworks is valuable.
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1+ year of experience evaluating AI systems for quality, reliability, and security at scale.
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5+ years of experience shipping production software in an enterprise or consumer environment, not just prototypes or proofs of concept.
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OpenSearch or Elasticsearch experience is preferred, but comparable experience with other search and retrieval systems is required.
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Experience with visualizing software architecture and topology (C4 or similar).
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].
How this job compares
Set against the 6,998 open AI Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This postingNot listed
- New York median$144–241K/yr434 salary ranges
- US median$30–78/hr135 hourly ranges
- Openings
- Olive Jobs lists 551 open AI Engineer jobs in New York and 6,998 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- PwC42 open
- Accenture36 open
- Capital One34 open
- Experience
- This posting asks for at least 7 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (5,939 postings).
- Education
- 2,904 of the 6,998 open AI Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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