Role :: AI Engineer
Location : Bentonville AR (5 days/week Onsite Only NO REMOTE
Rate : On C2C
JD: Client is looking to design and build LLM-powered solutions that extract actionable insights from structured CPG data sources. The goal is to automate analysis workflows find opportunities to grow surface trends and enable faster decision-making for cross-functional marketing and category teams.
Scope of Work
- Build LLM pipelines that ingest process and extract insights from CPG sales and market data (NIQ/Circana 84.51 Scintilla SAP)
- Develop prompt engineering frameworks and retrieval-augmented generation (RAG) architectures tailored to structured/tabular data
- Create automated insight summaries anomaly flags and natural-language reporting outputs
- Integrate with existing analytics infrastructure (PowerBI SharePoint internal data platforms)
- Document solutions for handoff and internal team adoption
Preferred Experience
- Strong Python development skills with production-level code quality
- Hands-on experience with LLM APIs (OpenAI Anthropic/Claude) including prompt engineering embeddings and RAG patterns
- Experience working with structured/tabular datasets at scale ideally in CPG retail or consumer analytics
- Familiarity with syndicated data providers (NIQ Circana IRI 84.51 ) is a strong plus
- Ability to work independently scope deliverables and communicate progress clearly
Nice to Have
- Experience with Azure OpenAI or enterprise LLM deployment
- Background in CPG category management or trade analytics
- Familiarity with PowerBI SAP or Microsoft ecosystem integrations
Role :: AI Engineer Location : Bentonville AR (5 days/week Onsite Only NO REMOTE Rate : On C2C JD: Client is looking to design and build LLM-powered solutions that extract actionable insights from structured CPG data sources. The goal is to automate analysis workflows find opportunities to grow s...
Role :: AI Engineer
Location : Bentonville AR (5 days/week Onsite Only NO REMOTE
Rate : On C2C
JD: Client is looking to design and build LLM-powered solutions that extract actionable insights from structured CPG data sources. The goal is to automate analysis workflows find opportunities to grow surface trends and enable faster decision-making for cross-functional marketing and category teams.
Scope of Work
- Build LLM pipelines that ingest process and extract insights from CPG sales and market data (NIQ/Circana 84.51 Scintilla SAP)
- Develop prompt engineering frameworks and retrieval-augmented generation (RAG) architectures tailored to structured/tabular data
- Create automated insight summaries anomaly flags and natural-language reporting outputs
- Integrate with existing analytics infrastructure (PowerBI SharePoint internal data platforms)
- Document solutions for handoff and internal team adoption
Preferred Experience
- Strong Python development skills with production-level code quality
- Hands-on experience with LLM APIs (OpenAI Anthropic/Claude) including prompt engineering embeddings and RAG patterns
- Experience working with structured/tabular datasets at scale ideally in CPG retail or consumer analytics
- Familiarity with syndicated data providers (NIQ Circana IRI 84.51 ) is a strong plus
- Ability to work independently scope deliverables and communicate progress clearly
Nice to Have
- Experience with Azure OpenAI or enterprise LLM deployment
- Background in CPG category management or trade analytics
- Familiarity with PowerBI SAP or Microsoft ecosystem integrations
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