Tech Stack
LangChainFAISSPineconeMLflowDatabricksRAGMilvusAzureAnalytics
Job Description, Responsibilities & Requirements
Description language:
About the Position
AI engineers who ship to production, not demos
LLM/RAG assistants, AI agents, recommenders, and computer vision - built by senior engineers and integrated into enterprise landscapes, with data governance your legal team will sign off.
Responsibilities
- Develop and deploy LLM & RAG assistants on LangChain, vector search with Faiss, Milvus, Pinecone.
- Implement AI agents and workflow automation into existing systems and APIs.
- Build recommender systems at bank scale, from feature pipelines to online serving.
- Create real-time video analytics, detection, and recognition systems with low-latency edge inference.
- Manage MLOps with MLflow, Azure ML, Databricks; training-to-serving pipelines, monitoring, and drift control.
- Ensure data governance by default, with models running on client-approved infrastructure.
Requirements
- 11+ years in software, 6+ in ML
- Expertise in CV & video analytics
- Experience with RAG & GenAI at a global retailer
- Proficiency in English (C1)
Nice to Have
- Experience with LLM, computer vision, real-time video analytics, edge inference, and data governance.
We Offer
- Competitive salary
- Opportunity to work with cutting-edge AI technologies
- Collaborative environment with senior and lead-level engineers
- Low attrition rate (5.6%)
- Quick onboarding process (~2 weeks to a productive engineer)
About the Company
HipTechEN·DE is a leading AI/ML staffing agency with over 100 engineers on staff, 72% of whom are Senior/Lead level. We pride ourselves on our industry-low attrition rate and our ability to get first CVs in 48 hours and a productive engineer in approximately 2 weeks.
How it Works
First CVs
Pre-vetted, from the bench.
2–5 days
Full shortlist
Bench roles; sourced: 2–3 weeks.
Your call
Interview
You assess and decide.
~2 weeks
Productive
DM-led onboarding.
Send us one AI/ML role today.
First pre-vetted CVs within 48 hours - and a productive engineer in ~2 weeks.