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Manager Llm Ai Jobs (NOW HIRING)

L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based ... management capabilities (MCP). • Build systems that leverage tool calling, chaining, and ...

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

... management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes. LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending ...

CloudOps Lead Engineer

Plano, TX · On-site

$50 - $52/hr

Support and manage cloud deployments to ensure reliable, repeatable, and high-quality releases ... LLM & AI Enablement * Apply Large Language Models (LLMs) in cloud operations use cases such as ...

Principal AI EngineerIntroduction: As a Principal AI Engineer, you will be based in Dallas. This ... Build infrastructure for routing and managing LLM service calls, develop prompt engineering and ...

... management, corporate finance, financial advisory) at a recognized, top-tier organization (e.g ... Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring ...

AI Engineer II

Overland Park, KS

$94K - $129K/yr

Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines ... Work closely with linguists, product managers, and engineers to integrate AI into translation ...

AI Engineer II

Leawood, KS · On-site

$94K - $129K/yr

Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines ... Work closely with linguists, product managers, and engineers to integrate AI into translation ...

... management, platform teams, and AI strategy groups. Key Responsibilities * Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic. * Design ...

Prompt engineer and iterate on system prompts, context management strategies, and output parsing to ensure reliable, production-grade AI behavior. * Evaluate emerging LLM capabilities and recommend ...

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Manager Llm Ai information

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How much do manager llm ai jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for manager llm ai in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is the difference between Manager Llm Ai vs Data Scientist?

AspectManager Llm AiData Scientist
Required CredentialsMaster's or PhD in AI, Machine Learning, or related fields; leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The main difference is that a Manager Llm Ai oversees AI projects and teams, focusing on strategic implementation, while a Data Scientist primarily analyzes data and develops models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

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States with the most job openings for Manager Llm Ai jobs include:

Infographic showing various Manager Llm Ai job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.

Principal Software Engineer - AI ADC

Osv_a10networks

San Jose, CA • On-site

$158K - $212K/yr

Full-time

Posted 10 days ago


Job description

Principal Software Engineer - AI ADC

A10 Networks is accelerating itsAIdriveninnovation across the ADC and GSLB product lines. We areseekinga highly experiencedSr. Staff Engineertobe part of thedevelopment ofnextgenerationAIawaretraffic management and AI Gateway capabilities.

This role combines deep domainexpertiseinApplication Delivery Controllers (ADC), Server Load Balancing (SLB), DNS/GSLB, with practical experience inAI/LLM systems, to build intelligent routing,inferenceawareload balancing, and Layer8 contextual decision engines for AI workloads.

The ideal candidate is a seniorstaff engineerwho can drive architecture, design, prototyping, and execution-working closely with product management, platform teams, and AI strategy groups.

Key Responsibilities

  • Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic

  • Design and implementLLMawareload balancing, incorporating semantic, token, latency, andmodellevelinsights into traffic decisions

  • Develop enhancements for ADC and GSLB platforms to support AI workloads, including:

  • Tokenawarerate limiting

  • Inferencelatencybasedrouting

  • AI model endpoint discovery and health checks

  • Integration with vector databases, model registries, and ML observability systems

  • Contribute to advanced features including Layer8contextawarerouting, adaptive traffic shaping, andAIdrivenanomaly detection

  • Drivesystemwidearchitecture: data plane, control plane, configuration, and distributed state management

  • Mentorengineering teams on AI workload behaviors, traffic characteristics, and tuning strategies

  • Collaborate with AI research and platform teams to align architectural decisions with product roadmap.

  • Create guidance onperformance optimization, benchmarking, and scaling for globalmultinodedeployments

AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.Targeted compensation guideline:Up to 230K OTE. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.
A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.#LI-AN1 - Hybrid