Agentic AI Developer (AI Analytics Platform Consultant)

Agentic AI Developer (AI Analytics Platform Consultant)

Location: USA / Canada (Remote/Hybrid)
Experience Required: 5+ Years (Python) | 2+ Years (AI/LLM in Production)

Job Overview

We are building anenterprise-grade AI-powered analytics platform that allows business users to query complex datasets using natural language.

The platform leverages amulti-agent AI architecture, where specialized agents collaborate to:

• Interpret user queries
• Generate SQL
• Execute queries on Snowflake
• Produce insights
• Generate dynamic visualizations

We are seekinghands-on Agentic AI Developers withproven production AI implementation experience to enhance, scale, and extend this platform across multiple business domains.

Key Responsibilities

• Develop and integratedomain-specific AI agents into a multi-agent system built onLangGraph & LangChain
• Design and implementNL-to-SQL agents with enforcement of:
  • Business rules
  • RBAC
  • Fiscal logic
• Build and integrateMCP (Model Context Protocol) services for secure enterprise data access
• ImplementRAG / PageIndex pipelines for improved context retrieval and accuracy
• DevelopFastAPI-based async services for real-time and batch workflows
• Buildautomated visualization pipelines (charts, KPIs, heatmaps) based on query output
• Definedomain configuration schemas (JSON) for:
  • Column mappings
  • Metrics
  • Business logic
• Contribute to aplugin-based agent architecture for scalable domain onboarding

Required Technical Skills

• Python (Expert Level)
  • Async programming
  • Production-grade system design
  • Debugging complex architectures
• Snowflake
  • Advanced SQL (analytical queries, aggregations)
  • RBAC implementation
  • Fiscal data handling
• LangChain / LangGraph
  • Multi-agent workflows
  • Tool calling, routing, checkpointing
• RAG / PageIndex
  • Context-aware AI system design
• MCP (Model Context Protocol)
  • Client-server integration for structured data tools
• Snowflake Cortex
  • AI functions: COMPLETE, EXTRACT_ANSWER, SUMMARIZE, SENTIMENT
• PromptQL / Prompt Engineering
  • Structured prompt design for enterprise data grounding

Preferred Skills

• Plotly (data visualization)
• Pandas (data processing & transformations)
• Docker (containerization)
• OAuth 2.0 / Enterprise Authentication
• Experience inlarge-scale enterprise environments

Minimum Qualifications

• 5+ years ofPython development experience
• 2+ years ofAI/ML or LLM application development in production(Mandatory)
• Hands-on experience with at leasttwo of the following:
  • LangChain
  • LangGraph
  • PromptQL
  • MCP or similar frameworks
• Strong expertise inSQL + Snowflake
• Ability towork independently and deliver production-ready solutions