The deep technical engine behind our internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath — data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale.

You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on.

Responsibilities
Own the data infrastructure underpinning AI deployments — pipelines, storage, and data serving
Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems
Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems
Take Strategist-built prototypes to production-grade — hardening, scaling, and ensuring reliability
Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure
Manage data models, schemas,



and storage supporting current and future AI deployments
Troubleshoot integration failures, data inconsistencies, and production issues

Skills
Python & SQL (production-grade pipeline development)
REST APIs, webhooks, OAuth, event-driven architecture
Orchestration tools: Airflow, Prefect, or Dagster
Cloud platforms: AWS, GCP, or Azure
Docker & Kubernetes Microsoft 365 & Microsoft Copilot

Desirable skills
Vector databases and embedding pipelines
Real-time streaming (Kafka, Flink)
RPA tooling (UiPath, Power Automate) dbt for data transformation
Claude Code, Claude Cowork, or Claude Skills
Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate)

Experience

3–5 years in software or data engineering with robust exposure to system

📌 Ai Deployment Engineer Mumbai
🏢 SmartStream
📍 Mumbai