Note: The job is a remote job and is open to candidates in USA. Dice is presenting an opportunity for an LLM Application Engineer focused on artificial intelligence applications. The role builds and ships LLM-powered applications and agentic workflows, integrates models with tools and services, develops evaluation systems, and improves AI quality, reliability, scalability, and user experience in production.
Responsibilities
- 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
Skills
- 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
- Tech Stack: Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Savings Plan Options
- PTO
- 100% Remote
Company Overview
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