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LLM Application Engineer

Job Overview

Location

Germany

Job Type

Full-time

Category

Software Engineering

Date Posted

August 11, 2026

Full Job Description

đź“‹ 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 - designing agent workflows, improving model behaviour, and turning AI capabilities into reliable user experiences.
  • • You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation system and continuously improving AI behaviour in production.
  • • Focus on building and shipping LLM-powered applications and AI agent workflows, designing 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 LLMs with APIs, databases, search, internal services, and external tools.
  • • Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour.
  • • Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
  • • Debug AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UX.
  • • Optimise 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

  • • 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.

🏖️ Benefits

  • • Opportunity to work on cutting-edge AI technology.
  • • Collaborative and dynamic work environment.
  • • Competitive salary and benefits package.
  • • Professional development opportunities.
  • • Flexible working hours and remote work options.
  • • IMPORTANT CATEGORIZATION:
  • • The job posting is categorized as 'Software Engineering' with a high confidence level of 0.95.
  • • The reasoning behind this choice is that the job description focuses on building and shipping AI-powered applications, designing systems for reasoning and planning, and integrating LLMs with APIs and tools, which are all key aspects of software engineering.
  • • IMPORTANT LOCATION EXTRACTION:
  • • "city": null
  • • "region": null
  • • "country_code": DE
  • • "is_remote": false
  • • IMPORTANT RULES:
  • • The job title 'LLM Application Engineer' clearly indicates that the role is focused on software engineering, and the description supports this by highlighting the technical aspects of the job.

Skills & Technologies

Python
PyTorch
Onsite

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About Bjak Sdn. Bhd.

Bjak operates Malaysia’s largest digital auto-insurance marketplace, enabling instant price comparison and online purchase of motor coverage from leading insurers. The platform uses proprietary technology to simplify complex tariffs, deliver personalised quotes and e-policy issuance within minutes, eliminating paperwork and agent visits. Licensed by Bank Negara Malaysia, Bjak also offers road-tax renewal, accident assistance and claims support, serving millions of drivers nationwide while partnering with insurers to increase digital distribution efficiency and customer reach.

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