LLM Application Engineer, Artificial Intelligence, Remote

Job not on LinkedIn

🔥 2 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $130k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Tech Jobs

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2 - 10 employees

🎯 Recruiter

Recruitment

Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levels—executive, senior, mid, junior—and specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.

📋 Description

• Build and ship LLM-powered applications and AI agent workflows • Design systems for reasoning, planning, memory, tool use, and multi-step execution • Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions • Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools • Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior • Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions • Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX • Optimize AI systems for quality, latency, and cost • Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions • Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement

🎯 Requirements

• Artificial Intelligence (AI) experience required • Strong software engineering fundamentals with experience building AI-powered applications • Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems • Experience designing prompts, workflows, evaluations, or AI behavior • Ability to write clean, production-quality code • Comfortable working across abstraction layers from model to system to product • Strong problem-solving skills in ambiguous, fast-moving environments • Bias toward shipping, iteration, and continuous improvement • Experience with Python • Experience with LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models • Experience with agent frameworks and orchestration systems • Experience with vector databases and retrieval systems • Experience with backend services, APIs, and distributed systems • Experience with PyTorch / JAX

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO

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