AI Engineer for Real Estate and Construction

2 weeks ago

Aurangābad, India beBeeArtificial Full time

AI Engineering RoleAbout the Position:We are seeking a talented AI engineer to drive the development, deployment, and continuous improvement of agent-based AI applications in real estate and construction. You will be responsible for designing, implementing, and owning 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.Required Skills & Experience:A strong background in Data Science / ML Engineering, with 4-7 years of experience, and 12+ months of LLM production experience is required.Hands-on experience with agentic AI frameworks; LangGraph experience is preferred.Strong prompt engineering skills in complex, domain-specific contexts.Proven experience deploying models securely in cloud environments (Azure preferred).Familiarity with containerization (Docker, Kubernetes) and serverless computing.Experience with observability & evaluation platforms (Langfuse, LangSmith).Strong Python coding skills and experience with REST/gRPC API integrations.Ability to translate complex business logic into detailed agent workflows.

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