Werkstudent AI Engineering role developing AI features for SCOUTASTIC's scouting platform used by professional football clubs. Involves prototyping, integration, and using advanced AI development tools.
About the role
- Lead Data GenAI Engineer designing and delivering generative AI solutions for Parts Town. Collaborate with cross-functional teams to optimize data applications and enhance business workflows.
Responsibilities
- Design, prototype, and deliver generative AI solutions that leverage Parts Town’s enterprise data on GCP (or other AI platforms as needed)
- Develop and optimize generative AI applications (e.g., copilots, search assistants, summarization tools)
- Implement retrieval-augmented generation (RAG) pipelines using enterprise data sources
- Fine-tune LLMs (Vertex AI, OpenAI, Anthropic, LLaMA) for Parts Town–specific use cases
- Build pipelines to structure unstructured data (manuals, product catalogs, customer tickets)
- Create embeddings and manage vector databases (BigQuery Vector, Pinecone, Weaviate, ChromaDB)
- Partner with Data Engineers to ensure AI-ready data assets are available and governed
- Work with MLOps to deploy GenAI solutions into production with monitoring, retraining, and drift detection
- Develop APIs and microservices for embedding AI into ERP, Salesforce, eCommerce, WMS/Ops, and customer service apps
- Apply guardrails to mitigate hallucinations, bias, and data leakage
- Evaluate emerging tools (LangChain, LlamaIndex, Vertex AI GenAI stack) and recommend adoption
- Share best practices and mentor peers on GenAI engineering approaches
Requirements
- 5+ years in Data Engineering, AI/ML Engineering, or related roles, with direct experience in generative AI
- Proficient in Python, SQL (JavaScript/Node.js a plus)
- Experience with LLMs (training, fine-tuning, embeddings, RAG pipelines)
- Hands-on with GCP (Vertex AI, BigQuery, Cloud Run, GKE) and/or other GenAI platforms (OpenAI, Anthropic, Hugging Face)
- Familiar with vector databases and semantic search
- Understand MLOps practices for deploying and monitoring GenAI solutions
- Strong collaboration and communication skills to partner with Product, Engineering, and Business teams
- Bachelor’s degree in computer science, data engineering, or related field. Will also accept candidates with proven experience outside of degree.
Benefits
- Quarterly profit-sharing bonus
- Hybrid Work schedule
- Team member appreciation events and recognition programs
- Volunteer opportunities
- Monthly IT stipend
- Casual dress code
- On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
- Health insurance
- 401k/401k match
- Employee assistance programs
- Paid time off
- Paid sick time off
- Paid holidays
- Paid parental leave
- Professional development opportunities
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