Strategic AI Implementation Specialist

2 weeks ago

mount, India beBeeEngineer Full time

Job OpportunityWe are seeking an experienced engineer to drive the design, deployment, and continuous improvement of agentic AI applications in real estate and construction.About the Role:This is a unique opportunity to join our fast-growing proptech startup and contribute to production-grade AI agents. You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability.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 cloud environments.Manage CI/CD pipelines and environment provisioning (Terraform).Observability & Evaluations:Monitor agent performance, latency, failures, and error handling.Implement evaluation frameworks 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:4–7 years in Data Science / ML Engineering, 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.Familiarity with containerization (Docker, Kubernetes) and serverless computing.Experience with observability & evaluation platforms.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 startup.Real-world enterprise production use cases for steep learning.Remote-first work environment.Exposure to multiple markets and diverse clients.Why Join Us:Candidates are expected to be adaptable, take initiative, and have direct impact in production. Only applications submitted through official channels will be considered.

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