AI Developer

3 days ago


Jamnagar, India beBeeAI Full time

Agentic AI SpecialistWe are seeking a talented engineer to drive the design, deployment, and continuous improvement of agentic AI applications in real estate and construction. Key Responsibilities: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.Requirements:4–7 years 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, with quarterly meet-ups.Exposure to multiple markets and diverse clients.Note:Candidates are expected to wear multiple hats, work beyond their comfort zone, and have direct impact in production.



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