Gen AI Engineer

Overview

Join to apply for the Gen AI Engineer role at Proplens AI

Drive the design, build, deployment, and continuous improvement of agentic AI applications for the real estate and construction industry. You’ll own end-to-end agent frameworks, architecting tool chains, crafting prompts, integrating data, and running observability and feedback loops to deliver production-grade AI agents.

Responsibilities

• Design and implement agent pipelines using frameworks like LangGraph, Google ADK, CrewAI, etc.
• Wire up external APIs, custom tool calls and endpoint integrations
• Prompt Engineering & Feedback loops
• Develop, iterate, and optimize domain-specific prompt templates at speed
• Embed complex business logic into multi-step prompt 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). Familiarity with secure LLM application deployments in Kubernetes clusters.
• Manage CI / CD for model updates and environment provisioning (Terraform)
• Observability & Evals
• Build monitoring and logging for agent performance, latency, failures and error handling.
• Implement agent eval frameworks and track metrics over time (RAGAS, DeepEval / Langfuse, etc.)
• Partner with backend & data engineers to deliver end-to-end product
• Document architectures, runbooks and learnings from iterations

Required skills and experience

Nice to have skillsets

Why us?

We are an early-stage startup, so you are expected to wear many hats, working with things out of your comfort zone, but with real and direct impact in production. If you think you are a good fit for this fast-paced environment, please apply on the form. No direct messages, e-mails will be considered please.

Benefits

Remote work with quarterly meet-ups

Seniority level

Employment type

Job function

Industries

#J-18808-Ljbffr