How to Apply: Interested and qualified? Go to Solvo Global on www.linkedin.com to apply.
Showcase Your AI Portfolio and Prompt Engineering Skills
This role is for a senior AI developer who can ship production-grade GenAI solutions. Hiring managers will probe your hands-on experience with LLMs, RAG, and cloud deployment, so your application must demonstrate real projects, not just buzzwords.
1. Build a project portfolio: Include 2-3 projects where you built AI applications using LLMs, RAG, or agents. Show code, architecture diagrams, and measurable outcomes (e.g., latency, accuracy).
2. Master the stack: Be ready to discuss Python, LangChain, LlamaIndex, and cloud AI services (Azure OpenAI, AWS Bedrock). Mention any experience with vector databases like Pinecone or Weaviate.
3. Prepare for system design: Expect questions on designing scalable AI workflows, handling API rate limits, and securing AI endpoints. Practice explaining trade-offs.
4. Highlight collaboration: Emphasize experience working with cross-functional teams and translating business needs into AI features. Provide examples of stakeholder communication.
5. Show continuous learning: AI evolves fast; mention recent courses, papers, or open-source contributions. This signals you stay current.
6. Polish your CV for ATS: Use keywords from the job description (e.g., 'Retrieval-Augmented Generation', 'Prompt Engineering') to pass automated screens.
7. Practice coding challenges: Be ready for live coding in Python, especially around API integration, data processing, or implementing a simple RAG pipeline.
8. Ask smart questions: In interviews, ask about their AI infrastructure, data sources, and success metrics. This shows genuine interest and strategic thinking.