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Ai Engineer Llm Jobs (NOW HIRING)

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Senior Software Engineer is responsible for building, training ...

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY · On-site

$300K - $350K/yr

Your expertise will be instrumental in developing agentic AI workflows, evaluating LLM-powered systems, and contributing to our technical strategy and architectural decisions. As an AI Engineer, you ...

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY

$300K - $350K/yr

Your expertise will be instrumental in developing agentic AI workflows, evaluating LLM-powered systems, and contributing to our technical strategy and architectural decisions. As an AI Engineer, you ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Provide AI/ML technical leadership and mentorship to other engineers on the team. * Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices. Position ...

Corning

This role is part of our Digital & IT organization and is focused on applying AI through hands-on software engineering, Python development, APIs, LLM-enabled solutions, workflow automation, and ...

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... LLM Fundamentals * Prompt Engineering * Tokenization, context windows * Model selection * Handling ...

Themesoft, Inc.

AI Engineer

Charlotte, NC · On-site

Hands on AI experience developing LLM based applications * Orchestration using Langraph/Google ADK * MCP experience About this role: * Client is seeking a Lead AI Engineer with deep expertise in ...

Allstate

Senior AI Engineer

Chicago, IL

$126K - $166K/yr

Engineer LLM ‑ powered services for schema understanding, semantic alignment, ontology enrichment ... Experience building AI ‑ assisted analytics or semantic layers for BI or NLQ use cases. The ...

Novella

AI Engineer

Manhattan, NY · On-site

They are seeking an AI Engineer to lead the development of autonomous agents and LLM-based applications, ensuring quality and performance while fostering a strong AI culture across the organization.

Northern Base

AI Engineer

Santa Clara, CA · On-site

... LLM models including GPT, Claude, Llama, or similar models. • Ability to guide engineering teams and establish AI development best practices. • Experience with enterprise AI architecture ...

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How much do ai engineer llm jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai engineer llm in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.
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Ai Engineer Llm jobs near you
Infographic showing various Ai Engineer Llm job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior AI Engineer (LLM & Agent Systems) - Platform

Calliere

New York, NY • On-site

Full-time

Posted 22 days ago

Job description

Role Summary This role focuses on designing and scaling reusable AI-driven workflows, particularly those powered by large language models and autonomous agents. You will build foundational components and abstractions that enable multiple internal teams to rapidly develop and deploy intelligent systems. The position emphasizes system reliability, evaluation rigor, and thoughtful tradeoffs in model and tooling selection.

Core Ownership Areas Develop reusable agent-based workflows to accelerate delivery across multiple projects. Define and maintain evaluation standards to ensure consistent model performance over time. Improve system reliability across key dimensions such as accuracy, latency, and robustness.

Build shared APIs and platform components used broadly across engineering teams. Key Responsibilities Design and implement orchestration patterns for LLM-powered agents. Evaluate and select models, tools, and providers based on performance, cost, and reliability.

Build testing frameworks, evaluation pipelines, and monitoring systems for AI outputs. Implement safeguards, fallback mechanisms, and cost optimization strategies. Collaborate with platform and backend engineers to integrate AI capabilities into scalable services.

Identify repeatable patterns across projects and convert them into reusable platform features. Requirements Required Experience Strong background in building production-grade distributed systems or platform infrastructure. Practical experience developing and deploying LLM-based or agent-driven systems.

Demonstrated ability to design for reliability, observability, and cost efficiency. High standards for code quality and system design. Nice-to-Have Experience Familiarity with retrieval systems, embeddings, or context management pipelines.

Experience working within regulated or security-conscious environments. Approach to Work Prioritizes measurable quality through structured evaluation and testing. Designs systems for reuse, scalability, and clean abstraction layers.

Focuses on building solutions that generalize beyond a single use case or team. Benefits - Hybrid onsite. - Incredible perks and comp package.

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