LLM Application Engineer
Bjak · Remote · Spain ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- LLM & Agent focus
- Python stack
- End-to-end ownership
- Production AI systems
You will work at the intersection of large language models, software engineering, and product design. Your main task is to own problems end-to-end, from understanding user needs to building evaluation systems and improving AI behavior in production.
The team focuses on high reliability for long-running workflows and persistent context. You will design systems for reasoning, planning, and memory to reduce hallucinations and organize users' lives efficiently.
What you'll do
- Build and ship LLM-powered applications and AI agent workflows
- Design systems for reasoning, planning, memory, and tool use
- Create orchestration pipelines for predictable and safe actions
- Integrate LLMs with APIs, databases, search, and external tools
- Develop prompting and context engineering techniques to improve behavior
- Build evaluation frameworks to measure AI quality and reliability
- Debug AI systems across model, orchestration, and backend layers
- Optimize AI systems for quality, latency, and cost efficiency
- Collaborate with product teams to solve ambiguous problems
- Establish production practices for observability and tracing
What you'll need
- Strong software engineering fundamentals
- Experience building AI-powered applications
- Hands-on experience with LLMs or agent-based systems
- Skill in designing prompts, workflows, and evaluations
- Ability to write clean, production-quality code
- Comfortable working across model, system, and product layers
- Strong problem-solving skills in fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Stack
- Python
- LLM APIs
- OpenAI-compatible APIs
- Agent frameworks
- Vector databases
- Backend services
- Distributed systems
- PyTorch
- JAX