Senior Artificial Intelligence Engineer for Real Estate and Construction

2 weeks ago

kannur, India beBeeAgentic Full time

Job Title:Agentic AI SpecialistRole Overview:Our team is seeking a highly skilled Agentic AI Specialist to drive the design, development, and deployment of agentic AI applications in real estate and construction. As a key member of our engineering team, you will be responsible for creating and implementing cutting-edge AI solutions that transform the way we work.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.Required Skills & Qualifications:4-7 years of experience in Data Science / ML Engineering, including computer vision, with 12+ months of LLM production experience.Hands-on experience with agentic AI frameworks; LangGraph experience 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.Benefits:Fast-growing, revenue-generating proptech startup.Real-world enterprise production use cases for steep learning.Remote-first work environment with quarterly meet-ups.Exposure to multiple markets and diverse clients.Why Join Us:Candidates are expected to be versatile, adaptable, and have direct impact in production. Applications submitted through the official channel will be considered.

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