Job Description:

• Design Autonomous Agents: Build multi-step reasoning agents using LangChain, LlamaIndex, and AutoGen that can execute tasks (booking, billing, dispatch) without human intervention.

• LLM Orchestration: Fine-tune and deploy models (OpenAI, Claude, Llama 3) using our Multi-Provider Proxy to balance cost, latency, and accuracy.

• Tool Use & Function Calling: Develop secure “tools” that agents can call to interact with external APIs (Salesforce, SAP, Banking Protocols) via our Magic Connectors.

• Guardrails & Compliance: Implement PII redaction and deterministic guardrails to ensure agents operate safely within ISO 27001 and PCI-DSS standards.

• Performance Optimization: Optimize inference pipelines using vLLM or Triton Inference Server for real-time agent responses.

Job Description:

• Data Architecture: Design and maintain scalable data lakes and warehouses using Snowflake, BigQuery, or ClickHouse.

• ETL/ELT Pipelines: Build robust data transformation pipelines using dbt (data build tool) and Airflow to clean and model data from 50+ sources.

• Predictive Analytics: Collaborate with data scientists to embed churn prediction and revenue forecasting models directly into BI dashboards.

• Visualization: Create interactive, real-time dashboards using Superset, Streamlit, or React-based custom views that go beyond vanity metrics.

• Governance: Implement Row-Level Security (RLS) and data lineage tracking to ensure tenant isolation in our multi-tenant architecture.

Job Description:

• Frontend Development: Build responsive, high-performance interfaces using React, Next.js, and TypeScript for our diverse portfolio of incubated products.

• AI Integration: Seamlessly integrate LLM streams, voice agents, and computer vision feeds into web applications using WebSockets and Server-Sent Events (SSE).

• Backend Engineering: Develop secure microservices in Python (FastAPI/Django) that connect our frontend apps to the core AIBI Intelligence Engine.

• Workflow Automation: Build the drag-and-drop interface for our No-Code Automation Engine, allowing users to visually construct AI workflows.

• Security: Implement secure authentication (SSO/SAML) and role-based access control (RBAC) for enterprise clients.

Job Description:

• Sensor Fusion: Ingest and process high-velocity time-series data (MQTT, HTTP) from thousands of IoT endpoints using Apache Flink or Kafka.

• Edge AI: Deploy lightweight ML models (TensorFlow Lite, ONNX) to edge gateways for real-time anomaly detection (vibration, temperature, location).

• Computer Vision: Develop and deploy vision models for document OCR, facial recognition, and object detection in logistics and security contexts.

• Digital Twins: Build data pipelines that update Digital Twins of physical assets in real-time for simulation and optimization.

• Hardware Integration: Work with custom protocols (LoRaWAN, BLE) to ensure seamless connectivity with diverse hardware ecosystems.

Job Description:

• Container Orchestration: Manage and scale microservices using Kubernetes across multi-cloud environments (AWS, GCP, Azure) .

• Model Pipelines: Build automated CI/CD pipelines for model retraining, testing, and deployment using MLflow or Kubeflow .

• Security Implementation: Enforce Zero Trust architecture, implementing network policies, IAM roles, and encryption (AES 256) at the infrastructure level .

• Observability: Implement “Sentinel Monitoring” and centralized logging to track system health, latency, and token usage.

• Cost Optimization: Manage GPU resource allocation and implement Token Billing Engines to track usage per tenant