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AI Analyst, Mid-level
IntervalorData Analyst focused on developing AI applications and prompt engineering solutions at Intervalor, enhancing customer engagement and credit recovery.
About the role
Key responsibilities & impact- Design prompt architectures for agents based on LLMs
- Create robust system prompts and behavioral guardrails
- Develop Context Engineering strategies
- Implement RAG (Retrieval-Augmented Generation) with corporate knowledge bases
- Structure evaluation pipelines for prompts and LLM responses
- Work on reducing hallucinations and improving response accuracy
- Design fallback strategies, context control, and grounding
- Collaborate with engineers to integrate with APIs and corporate systems
- Oversee deployment, monitoring, and evolution of agents in production
Requirements
What you’ll need- Hands-on experience with LLMs or generative AI applications
- Hands-on experience with Prompt Engineering
- Hands-on experience with AI tools such as ChatGPT, Claude, Gemini
- Experience with RAG and knowledge retrieval
- Experience evaluating language model responses
- Ability to craft complex prompts and conversational architectures
- Familiarity with APIs, JSON, and system integrations
- Experience with conversational agents (chat or voice)
- Experience with embeddings and vector databases
- Experience with LangChain, LlamaIndex, or similar frameworks
- Experience with LLM evaluation and observability
- Experience in Customer Experience / Contact Centers
Benefits
Comp & perks- Health insurance
- Meal allowance
- Transportation allowance
- Flexible working hours
- Professional development programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLMsgenerative AIPrompt EngineeringRAGknowledge retrievalevaluating language model responsescomplex promptsconversational architecturesembeddingsvector databases
Soft Skills
collaborationproblem-solvingcommunication