[Hiring] LLM Application Engineer @Bjak

Role Description

As an LLM Application Engineer, you will build the intelligence layer that powers A1's AI experiences. You will work at the intersection of LLMs, software engineering, and product, focusing on:

• Building and shipping LLM-powered applications and AI agent workflows
• Designing systems for reasoning, planning, memory, tool use, and multi-step execution
• Building reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions
• Integrating LLMs with APIs, databases, search, internal services, and external tools
• Developing prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour
• Building evaluation frameworks and datasets to measure AI quality, reliability, and regressions
• Debugging AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UX
• Optimising AI systems for quality, latency, and cost
• Working closely with product and engineering teams to turn ambiguous product problems into working AI solutions
• Establishing production practices for observability, tracing, experimentation, evaluation, and continuous improvement

Qualifications

• Strong software engineering fundamentals with experience building AI-powered applications
• Hands-on experience with LLMs, generative AI, or agent-based systems
• Experience designing prompts, workflows, evaluations, or AI behaviour
• Ability to write clean, production-quality code
• Comfortable working across abstraction layers (model → system → product)
• Strong problem-solving skills in ambiguous, fast-moving environments
• Bias toward shipping, iteration, and continuous improvement

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
• AI workflows become increasingly predictable, efficient, and cost-effective
• Complex AI capabilities are translated into simple, intuitive user experiences