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 an enterprise-grade AI-powered analytics platform that allows business users to query complex datasets using natural language.

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

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

We are seeking hands-on Agentic AI Developers with proven production AI implementation experience to enhance, scale, and extend this platform across multiple business domains.

Key Responsibilities

- Develop and integrate domain-specific AI agents into a multi-agent system built on LangGraph & LangChain
- Design and implement NL-to-SQL agents with enforcement of:
- Business rules
- RBAC
- Fiscal logic

- Build and integrate MCP (Model Context Protocol) services for secure enterprise data access
- Implement RAG / PageIndex pipelines for improved context retrieval and accuracy
- Develop FastAPI-based async services for real-time and batch workflows
- Build automated visualization pipelines (charts, KPIs, heatmaps) based on query output
- Define domain configuration schemas (JSON) for:

- Column mappings
- Metrics
- Business logic





- Contribute to a plugin-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 in large-scale enterprise environments

Minimum Qualifications

- 5+ years of Python development experience
- 2+ years of AI/ML or LLM application development in production (Mandatory)
- Hands-on experience with at least two of the following:
- LangChain
- LangGraph
- PromptQL
- MCP or similar frameworks

- Solid expertise in SQL + Snowflake
- Ability to work independently and deliver production-ready solutions

📌 Agentic AI Developer (AI Analytics Platform Consultant) (Greater Toronto Area)
🏢 Infowaysolutions
📍 Greater Toronto Area