AI Solutions Engineer
Tasks
- Build AI agents and copilots
- Build Retrieval Augmented Generation systems
- Deploy AI and CV systems with monitoring and logging
- Design build and ship production AI systems
- Develop evaluation rubrics and harnesses
- Engineer computer vision pipelines
- Implement responsible AI governance and privacy practices
- Integrate solutions into CRM ticketing and marketing platforms
- Integrate vision systems into content platforms
- Lead client technical delivery and integration
- Optimize cost latency throughput and reliability
- Train fine tune and evaluate vision models
- Translate discovery into shippable technical solutions
Perks/Benefits
Skills/Tech-stack
AI Foundry | APIs | AWS Bedrock | Agents SDK | Authentication | Azure AI | Azure AI Foundry | Claude | Computer Vision | Copilot Studio | Embeddings | Event Tracking | Function Calling | Go | Google Vertex | Google Vertex AI | HubSpot | Image Segmentation | Image classification | Langchain | Langgraph | Language Models | Large Language Models | Logging | MLOps | Microsoft Copilot | Microsoft Copilot Studio | Model Evaluation | Monitoring | Multi-Modal | Multi-Modal Learning | N8n | Node.js | Object Detection | Observability | OpenAI Agents | OpenAI Agents SDK | PGVector | Pinecone | Prompt engineering | Python | Queues | RAG | Retrieval Pipelines | Salesforce | Storage | System design | TypeScript | Vector Databases | Vertex AI | Weaviate | Zapier
Education
N/A
Regions
Countries
States
Cities
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