AI/ML Engineer, LLMs, RAG
Particula
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSDockerEC2PythonPyTorch
About the role
- Build and maintain LLM‑powered features end‑to‑end (prompting, RAG pipelines, structured extraction/classification such as entity extraction).
- Develop data ingestion, cleaning and indexing pipelines for RAG, including n8n workflows for intake and enrichment (connectors, transformations, error handling, scheduling).
- Contribute to lightweight model tuning and systematic evaluation.
- Establish evaluation and observability for RAG (dashboards, automated reporting, experiment tracking) to ensure reliability and factual grounding.
- Optimise prompts, retrieval and context strategies to improve accuracy, reduce hallucinations and control latency/cost.
- Work hand‑in‑hand with our ML/DevOps engineer to ensure smooth deployments, reliability and continuous improvement.
- Coordinate and provide technical guidance to a small offshore AI development team (clear specifications, code reviews, quality standards), with support from the Head of AI.
- Collaborate with product and engineering to scope and deliver incremental value in short, iterative releases.
Requirements
- Strong Python skills; experience with PyTorch or Transformers; familiarity with the Hugging Face ecosystem.
- Practical knowledge of LLM tooling (e.g. LangChain or LangGraph) and RAG concepts.
- Experience building on AWS, ideally including:
- Serverless functions (AWS Lambda) for orchestration,
- Elastic compute (EC2) for workloads,
- Foundation model services (Bedrock or SageMaker) for model hosting and tuning.
- Hands‑on with n8n; workflow automation experience is a plus.
- Containerisation with Docker; proficiency with Git and CI/CD.
- MLOps fundamentals: MLFlow for experiment/model tracking; evaluation frameworks (e.g. RAGAS).
- Clear communication, collaborative mindset and focus on shipping.
- Languages: strong English; German is a plus.
Benefits
- Offsites with the team in exciting locations
- Flexible working hours in a remote‑first company
- Exciting product in a very dynamic market environment
- Values‑based start‑up culture
- Many opportunities to develop further and network with committed people
- Flat hierarchy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPyTorchTransformersLangChainLangGraphAWS LambdaEC2BedrockSageMakerDocker
Soft skills
clear communicationcollaborative mindsetfocus on shipping