LLM Application Engineer

Stack

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 turning probabilistic model outputs into predictable, observable, safe actions
• ▹Integrate LLMs with APIs, databases, search, internal services, and external tools
• ▹Develop prompting, context engineering, structured outputs, and tool-calling techniques
• ▹Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions
• ▹Debug AI systems across the stack, from model behavior and prompts to orchestration and product UX
• ▹Optimize AI systems for quality, latency, and cost
• ▹Work closely with product and engineering teams
• ▹Establish production practices for observability, tracing, and experimentation

Requirements

• ▹Strong software engineering fundamentals, experience building AI-powered applications
• ▹Hands-on experience with 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 (model to system to product)
• ▹Strong problem-solving in ambiguous, fast-moving environments

Nice to have

• ▹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, distributed systems
• ▹PyTorch / JAX

Soft skills

About the company

A1 (Bjak) is building a proactive AI assistant for everyday users, aiming to bring intelligence to conversations, errands, organizing, and workflows with minimal prompting.