AI Engineer
Leadrat Real Estate CRM - Dubai | India · Bengaluru · onsite · Posted 1d ago
Not disclosed2–5 yrsfulltimeSourced from
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About this role
Company Profile
LeadRat CRM is a fast-growing SaaS company providing CRM and sales automation solutions for the real estate industry. With offices in Bengaluru, Pune, Gurugram, and Dubai, we are building innovative AI-powered products that help businesses automate, scale, and grow.
AI Engineer – LLM / Generative AI
Location: Bengaluru (HSR Layout)
Experience: 2–3 Years
Employment Type: Full-Time
Job Summary
We are looking for an AI Engineer with hands-on experience in Generative AI and Large Language Models (LLMs) to build and deploy production-ready AI applications. The ideal candidate should be capable of independently owning AI products from concept to deployment.
Key Responsibilities
A self-driven AI Engineer with strong ownership, problem-solving skills, and the ability to build scalable, production-ready AI solutions independently.
Skills: pipelines,models,optimization,crm,aws,prompt,azure
LeadRat CRM is a fast-growing SaaS company providing CRM and sales automation solutions for the real estate industry. With offices in Bengaluru, Pune, Gurugram, and Dubai, we are building innovative AI-powered products that help businesses automate, scale, and grow.
AI Engineer – LLM / Generative AI
Location: Bengaluru (HSR Layout)
Experience: 2–3 Years
Employment Type: Full-Time
Job Summary
We are looking for an AI Engineer with hands-on experience in Generative AI and Large Language Models (LLMs) to build and deploy production-ready AI applications. The ideal candidate should be capable of independently owning AI products from concept to deployment.
Key Responsibilities
- Build, deploy, and maintain LLM-powered applications.
- Develop RAG pipelines and prompt engineering solutions.
- Fine-tune and optimize LLMs/SLMs for business use cases.
- Design scalable AI architectures and inference pipelines.
- Monitor AI systems for performance, quality, and cost optimization.
- Evaluate and benchmark AI models for production readiness.
- 2–3 years of experience in AI/ML or Generative AI.
- Strong knowledge of LLMs, SLMs, RAG, and Prompt Engineering.
- Experience with vector databases, embeddings, and AI orchestration frameworks.
- Strong Python programming skills.
- Experience deploying AI applications in production.
- Knowledge of AI monitoring, evaluation, and inference cost optimization.
- React.js
- Java Spring Boot
- LangChain, LangGraph, or LlamaIndex
- AWS/GCP/Azure
- Docker, Kubernetes, and CI/CD
A self-driven AI Engineer with strong ownership, problem-solving skills, and the ability to build scalable, production-ready AI solutions independently.
Skills: pipelines,models,optimization,crm,aws,prompt,azure
Sourced from foundit
Skills
Java Spring Bootinference cost optimizationDockerKubernetesRetrieval Augmented GenerationPrompt EngineeringAI Orchestration Frameworksgoogle cloud platformamazon web servicesEvaluationvector databasesEmbeddingsLarge Language Models (LLMs)PythonAI MonitoringReact.JsMicrosoft AzureLanggraphLangchainGenerative AiLlamaindexCi/Cd