Senior AI Engineer
JobgetherRemotely
pythonelasticsearchaillmsopensearchragpineconeweaviate
Job Description
📋 Description
- Design, build, and deploy AI solutions focused on LLMs, generative AI, and ML to solve business
- Own end-to-end lifecycle of AI features: problem definition, data, modeling, deployment
- Develop and optimize LLM-powered apps like RAG systems, AI agents, chatbots, docs solutions.
- Design data pipelines for data collection, preprocessing, analytics, AI/ML workflows.
- Deploy AI solutions in cloud infra with scalability, security, reliability, performance.
- Collaborate with teams to embed AI into products, services, tools.
🎯 Requirements
- 5+ years software development; 2+ years AI/ML focus; proven AI delivery.
- Experience building production AI/ML systems (batch/real-time).
- Strong experience with LLMs, generative AI; prompt engineering, fine-tuning, RAG, orchestration.
- Hands-on with vector DBs and semantic search (Pinecone, Weaviate, Qdrant, Elasticsearch
- Understanding of RAG architectures, retrieval pipelines, eval approaches.
- Experience designing/managing data pipelines for AI apps.
🎁 Benefits
- Competitive salary.
- Asynchronous, autonomy-focused environment.
- Remote-first with hybrid options depending on role.
- Opportunity to work abroad for short periods.
- Career development in a fast-growing org.
- Hardware provided to new joiners.
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