LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

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.

Outcomes:

• AI features reach production quickly and deliver measurable user impact.
• LLM-powered workflows are reliable, scalable, observable, and maintainable.
• AI quality improves through systematic evaluation, experimentation, and iteration.

Qualifications:

• AI experience required with strong software engineering fundamentals.
• Hands-on experience with LLMs, generative AI, or agent-based systems.
• Ability to write clean, production-quality code and work across abstraction layers from model to product.

Tech Stack:

• Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models.
• Agent frameworks, orchestration systems, vector databases, and retrieval systems.
• Backend services, APIs, distributed systems, and PyTorch/JAX.