AI Engineer
Tasks
- Analyze user needs for technical requirements
- Apply context engineering
- Build end-to-end AI applications
- Deploy and support AI solutions
- Design and develop AI solutions
- Document AI models and workflows
- Follow software development lifecycle
- Implement API integrations and function calling
- Implement observability and monitoring for AI systems
- Optimize LLM performance with prompt engineering
- Research and apply AI tools for deeper research
- Support product releases
- Test and debug application problems
- Test and evaluate AI models
- Use LangChain for AI pipelines
- Use LangGraph for AI pipelines
- Work with CI/CD pipelines and deployment processes
Perks/Benefits
- Disability insurance
- Donation matching
- Employee assistance program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning and accredited courses
- Paid time off
- Paid time off for volunteering
- Retirement plans
- Unlimited vacation
Skills/Tech-stack
APIs | AWS | Agent workflows | Azure | CI/CD | ChromaDB | Context engineering | Embeddings | Faiss | GCP | Git | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | Observability | Pinecone | Prompt engineering | Python | RAG | Retrieval Techniques | Testing | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer
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