AI / GenAI Solutions Engineer
Tasks
- Architect production GenAI systems
- Build embeddings and vector search pipelines
- Design agentic workflows with tool calling
- Implement evaluation for quality and hallucinations
- Implement retrieval-augmented generation
- Integrate AI features into frontend
- Mentor engineers on AI/ML best practices
- Monitor LLM calls with observability
- Optimize latency and token cost
- Partner cross functionally to identify AI opportunities
- Run experiments with new models and frameworks
- Ship LLM powered backend services
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Embeddings | Evaluation | FastAPI | Fine Tuning | Hybrid search | JavaScript | LLM | LoRA | Machine Learning | NLP | Observability | PGVector | Pinecone | PostgreSQL | Prompt Caching | Prompt engineering | Python | RAG | REST | React | Redis | Reranking | Retrieval-Augmented Generation | SSE | Streaming | Token optimization | Tokenization | Transformers | TypeScript | Vector Database | Vector Search | Weaviate | Web API | WebSockets
Education
N/A
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | GenAI Engineer | Solutions Engineer
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