AI/ML Engineer

About the role

• Develop and deploy machine learning and AI models for real-world product use cases. • Build and improve LLM-powered applications, including AI assistants and conversational systems. • Develop RAG (Retrieval-Augmented Generation) pipelines using property, user, and business data. • Work on semantic search, recommendation systems, and intelligent property matching. • Develop lead scoring and lead–agent/property matching models. • Process, clean, transform, and analyze large datasets for model development. • Design and integrate embeddings, vector databases, and similarity-search systems. • Build and maintain AI/ML APIs and integrate models with backend services. • Evaluate model performance using appropriate metrics and continuously improve accuracy. • Experiment with different ML/LLM models, prompting techniques, fine-tuning approaches, and AI frameworks. • Work with engineering and product teams to convert business requirements into AI solutions. • Monitor AI systems in production and troubleshoot issues related to performance, latency, and accuracy. • Maintain documentation for models, datasets, experiments, and AI pipelines. • Stay updated with developments in Generative AI, LLMs, NLP, and machine learning.

What we're looking for

• Bachelor's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field. • 1–3 years of experience in AI/ML engineering or a closely related role. • Strong programming skills in Python. • Strong understanding of: • Machine Learning • Deep Learning • NLP • Model evaluation and optimization • Data preprocessing and feature engineering • Hands-on experience with ML libraries such as Scikit-learn, PyTorch, or TensorFlow. • Practical experience working with LLMs and Generative AI. • Experience with OpenAI, Gemini, Claude, Hugging Face, or similar models. • Understanding of prompt engineering and LLM evaluation. • Experience building RAG-based applications. • Familiarity with embeddings and vector databases such as Pinecone, Qdrant, Weaviate, FAISS, or Chroma. • Experience working with REST APIs and model deployment. • Good understanding of SQL and databases. • Familiarity with Git/GitHub and software development workflows. • Strong problem-solving and analytical skills.