Key Responsibilities

- Own agent, scoring and API code end to end; ship in two-week increments against written specs

- Define the feature contract with the data engineer; tests, CI, runbooks

- Nightly targeting agent (Foundry hosted agent + Routine): typed tools over Fabric feature tables,constraint-based selection, reason per row, list write-back

- Scoring: configurable weights, then a learned ranker (LightGBM) trained on call outcomes

- Backend API (Python, FastAPI) for the Teams/Outlook app: feeds, outcomes, follow-up monitor,

- Microsoft Graph on-behalf-of: mailbox reply scan, Outlook draft creation
- Entra app registration,

- Salesforce adapter (MCP or Connect API) for reads and idempotent writes

- Structured-output LLM calls, validators, prompt versioning, evaluations, tracing, agent identity and guardrails.

Profile

- Must have: Production Python/FastAPI
- Azure OpenAI / Foundry Agent Service
- Microsoft Agent Framework or equivalent
- Graph OBO and Entra; one shipped Salesforce integration; practical ranking ML

- Plus: Teams Toolkit, Container Apps, Service Bus, Azure SQL/Cosmos, Bicep, GitHub Actions

- AIassisted development

📌 Ai Engineer (Delhi)
🏢 Espire Infolabs
📍 Delhi