Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and optimize LLM-powered agents and multi-agent workflows using Python or TypeScript. You will build tool schemas, implement RAG and memory strategies, and use frameworks like LangChain or LangGraph to create reliable AI agents for pharma analytics platforms on AWS.
Chryselys (a pharma analytics & business consulting firm) seeks an Application Architect to design end-to-end enterprise application architecture — workflows, data models, APIs, and RBAC security — and build backend services using Python, Java, C#, or Node.js on cloud platforms, preferably AWS, in Hyderabad.
Designs and builds the infrastructure behind enterprise AI agents — memory, context/state management, agent-to-agent communication, and orchestration — partnering with app and platform teams. Core stack: Python/TypeScript/Java, LangGraph/LangChain, AWS (including AgentCore), vector databases, and event-driven APIs with security and observability guardrails.
Senior front-end role building AI-native applications and conversational interfaces. Focuses on React, TypeScript, and real-time streaming (WebSockets/SSE) to create agentic workflows and generative UIs within the pharma analytics domain.
Senior web-scraping SME at pharma analytics consultancy Chryselys, owning a production web-crawling platform (Python, Scrapy/Playwright/httpx) that feeds an AWS Bedrock LLM verification agent. Day to day: hardening legacy crawlers, reverse-engineering payer JSON APIs, handling anti-bot/egress, and ensuring legal/compliance-safe data acquisition.
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