AI Systems Engineer Enterprise AI AGENT & Executive Assistant

Job Title: AI Systems Engineer Enterprise AI Agent & Executive Assistant

Location:

Role Summary

AI Systems Engineer

real-time company data (ERP, BI, CRM, HRMS, Sales, Finance)

• Executive insights
• Predictive analytics
• AI-driven decision support
• Automated reporting
• Voice-based interactions
• Multi-channel access (web, WhatsApp, Slack, mobile)

architecture, development, integration, deployment, and scaling

Core Responsibilities

1. Enterprise Data Integration & AI Data Modeling

• Integrate AI agent with enterprise systems:
  ERP/SAP, S/4HANA, Oracle, Dynamics, Tally, Zoho, custom ERPsCRM, HRMS, Workflow tools, BI dashboardsSQL/NoSQL databases
• Build ETL/ELT pipelines for AI use cases
• Work with:
  Azure SQL, AWS RDS, BigQuery, Snowflake, Supabase
• Design data schemas optimized for AI retrieval
• Build real-time data sync layers for AI queries

2. AI Agent Development (LLM, RAG, Automations)

AI Agent

• Build RAG pipelines (retrieval, indexing, embeddings)
• Create multi-step reasoning workflows
• Use LangChain, LangGraph, LlamaIndex, OpenAI Assistants
• Integrate memory, tools, and API functions
• Create multi-agent systems for:
  Finance, Sales, HR, Inventory, PMO, Management
• Design task execution agents (emails, reminders, actions)
• Build natural-language query systems for enterprise data

3. Voice AI + Multichannel Agent Deployment

• Integrate voice calling (Twilio / Deepgram / ElevenLabs / Resemble)
• Build conversational UI flows for:
  WhatsAppSlackTeamsWeb ChatMobile app
• Enable push notifications, voice-triggered insights
• Provide personalized daily summaries for CEOs/CXOs

4. AI-Powered Analytics & Predictive Layer

• Build forecasting models using Python
• Create anomaly detection pipelines
• Implement KPI alerts, early-warning systems
• Integrate ML outcomes into AI responses
• Work with Power BI / Tableau dashboards for data retrieval

5. Automation & Agentic Execution

• Build automation layers using:
  n8n, Make, Zapier, custom microservices
• Enable actions like:
  “Send reminder”, “Create task”, “Draft email”, “Pull report”,“Generate forecast”, “Prepare meeting brief”, etc.
• Build event-driven triggers tied to ERP/BI systems

6. Security, Governance & Enterprise Compliance

• Implement role-based access
• Manage data governance rules
• Build secure API gateways
• Ensure encryption, tokenization, enterprise-grade compliance
• Prepare documentation for deployments
• Work with enterprise IT teams

7. Product R&D & Roadmap Evolution

You will shape the core product direction:

• Improve AI CEO agent logic
• Build advanced company health scoring
• Design new modular agents
• Develop mobile-friendly UI interactions
• Improve latency, accuracy, and reliability
• Experiment with GPT, Claude, Gemini, LLaMA, Mistral models

Mandatory Skills

AI/ML

• LLMs: GPT-4o, Claude, Gemini, Llama
• RAG pipelines
• LangChain / LangGraph
• Vector Databases (Pinecone, Chroma, Weaviate, Qdrant)
• Python for data processing & ML
• OpenAI Assistants API
• Knowledge of embeddings, function calling

Data Engineering

• SQL (Advanced)
• Data modeling & warehouse concepts
• ETL/ELT (ADF, Glue, Dataflow, custom pipelines)
• API development & integration (REST/GraphQL)

Automation

• n8n, Make, Zapier
• Event-driven architecture
• Message queues (RabbitMQ/SQS optional)

Cloud

• Azure, AWS, or GCP
• Serverless functions
• Microservices basics

Security

• JWT, OAuth2, IAM
• API access control
• Enterprise networking basics

Good-to-Have Skills

• Experience with SAP connectors, OData, CDS Views
• Power BI or Tableau exposure
• Node.js or Python backend experience
• WhatsApp Cloud API
• Voice AI (ElevenLabs / Twilio / Deepgram)
• UX/UI understanding for conversational interfaces
• Experience with enterprise clients

Soft Skills

• Strong problem-solving ability
• Clear communication with CXOs
• Ability to handle enterprise expectations
• Ownership mindset
• Ability to break down complex requirements

Why Join Us

• Build one of the world’s most advanced enterprise AI CEO assistants
• Work across ERP, AI, BI, Voice AI, Automation, Cloud
• Deliver AI transformations for large global companies
• Shape a flagship product with massive global potent