Agentic AI Engineer

About the job

Position: Agentic AI Engineer – Real Estate & Construction About the Role: We are seeking a talented engineer to drive the design, deployment, and continuous improvement of agentic AI applications in real estate and construction. You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability, ensuring production-grade AI agents. Key Responsibilities: • Agent Architecture & Orchestration: Design and implement agent pipelines using frameworks like LangGraph, Google ADK, CrewAI, etc. Integrate external APIs, custom tool calls, and endpoints. • Prompt Engineering & Feedback Loops: Develop and optimize domain-specific prompt templates. Embed complex business logic into multi-step workflows. Build user-feedback pipelines to retrain, fine-tune, and adjust agent behavior. • Secure Deployments: Containerize and deploy LLMs securely on Azure Cloud (AKS / Azure ML). Manage CI / CD pipelines and environment provisioning (Terraform). • Observability & Evaluations: Monitor agent performance, latency, failures, and error handling. Implement agent evaluation frameworks (RAGAS, DeepEval, Langfuse) and track metrics over time. • Collaboration: Work closely with backend and data engineers to deliver end-to-end solutions. Document architectures, runbooks, and lessons learned from iterations.

Requirements

• agent frameworks
• prompt engineering
• data integration
• observability

Qualifications

• Bachelor's or Master's degree in relevant field

Preferred Technologies

• agent frameworks
• prompt engineering
• data integration
• observability

About the company

BeGig is a fast-growing, revenue-generating proptech startup focused on real estate and construction technologies, striving to innovate agentic AI applications in these sectors.