Senior AI Engineering

Overview

Design, build, and deploy advanced AI-driven solutions that transform real estate investment and decision-making. This is a hands-on technical role focused on scalable AI systems and production-grade AI applications in modern cloud environments.

What you'll do

• Design and develop production-grade AI applications using LLMs, Generative AI, and machine learning models.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Develop AI agents and workflow automation systems for document intelligence, market analysis, and underwriting workflows.
• Apply advanced AI techniques including prompt engineering, fine-tuning (LoRA, adapters), embedding strategies, and model benchmarking.
• Evaluate models for accuracy, latency, robustness, and business impact.
• Have full stack development experience to build products.
• Build scalable backend services and APIs (Python preferred).
• Integrate AI models into production-ready applications.
• Develop data ingestion, preprocessing, and feature engineering pipelines.
• Ensure observability, logging, monitoring, and reliability of AI systems.
• Optimize systems for performance and cost efficiency.
• Implement model versioning and experiment tracking.
• Build automated evaluation and validation pipelines.
• Support continuous improvement via A/B testing and feedback loops.
• Ensure AI practices including explainability and bias mitigation.
• Partner with product, data, and engineering teams to translate business requirements into scalable AI solutions.
• Contribute to architecture discussions and code reviews.
• Mentor junior engineers and promote AI engineering best practices.

What you'll need

• 4–6 years of experience in AI/ML engineering or software engineering with strong AI exposure.
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar).
• Hands-on experience with LLMs, Generative AI systems, RAG pipelines, and vector databases.
• Experience deploying AI solutions in production environments.
• Strong understanding of scalable system design and distributed systems fundamentals.
• Experience building robust backend systems and APIs.

Nice to have

• Experience fine-tuning open-source foundation models.
• Experience building multi-agent AI systems.
• Familiarity with full-stack AI product integration.
• Experience working with Snowflake or modern cloud data warehouse platforms.
• Experience shipping AI products at enterprise scale.
• Background in real estate, fintech, or investment analytics (plus).

Details

• Location: Bangalore.