AI SDR Specialist for Pharmaceutical Industry

*Price is an estimate. I am open to alternatives* Project Overview I need an experienced developer to build a custom AI SDR agent for a B2B life sciences client. It monitors target companies for buying signals, uses an LLM to qualify them, checks the CRM for history, then generates and sends personalized outreach. Must be a clean, configurable, self-hostable build I can redeploy for other clients. Core pipeline 1. Monitor a universe of target companies for buying signals — pharma signals via GlobalData API, business signals via Autobound API. 2. Pass each signal through an LLM (Claude/OpenAI) with client-specific context to judge real buying potential. 3. For relevant signals, query the client's CRM (Zoho) for prior history. 4. LLM selects the right outreach sequence based on that history. 5. Execute and track multi-step outbound via a sending API (e.g. Unipile), writing replies back to the CRM. Requirements Code-first (Python or TypeScript) — versioned codebase. I am also open to a low/no-code platforms like n8n. Configurable per client; deployable as a Docker container into the client's own environment on their own API keys. Durable execution: retries, no duplicate sends, solid logging. Strong entity resolution across GlobalData, Autobound, and Zoho. Experience with LLM/agent workflows and multi-API integration. Deliverables: Working, documented, deployable app + setup docs. Full IP assignment (work-for-hire).