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Revantage Corporate Services

Comprehensive real estate corporate services platform

Senior Generative AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Statistics, Mathematics, or an equivalent combination of education and experience.
  • At least 8 years of software engineering experience, including at least 4 years focused on AI/ML product development.
  • Demonstrated success architecting and delivering production AI systems at enterprise scale.
  • Expertise in software engineering principles, distributed systems, system architecture, and the full software development lifecycle.
  • Experience developing AI-powered applications using Large Language Models, Generative AI, Retrieval-Augmented Generation, prompt engineering, AI agents, and frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or Model Context Protocol.
  • Experience building enterprise AI solutions using OpenAI, Anthropic Claude, Azure OpenAI, Amazon Bedrock, Vertex AI, or similar platforms within Azure, Databricks, AWS, or Google Cloud Platform environments.
  • Expert Python development experience with APIs, microservices, cloud-native applications, and frameworks such as FastAPI, Flask, or Django.
  • Experience with relational, NoSQL, and vector databases, Retrieval-Augmented Generation architectures, AI model evaluation, fine-tuning, observability, continuous integration and continuous delivery, automated testing, and enterprise system integrations.
  • Experience implementing AI governance, responsible AI, data privacy, cybersecurity, and regulatory compliance practices.
  • Ability to translate complex business requirements into scalable technical solutions while collaborating with cross-functional teams and executive stakeholders.
  • Ability to architect and develop enterprise AI-powered applications and scalable backend services.
  • Ability to design secure authentication, authorization, and user-management systems.

Responsibilities

  • Architect, develop, and own end-to-end delivery of enterprise AI-powered applications using Claude, ChatGPT, OpenAI APIs, Anthropic APIs, and other Large Language Model platforms.
  • Lead the design and implementation of intelligent agents, copilots, agentic workflows, and knowledge-management systems; define architectural guardrails and review engineering-team implementations.
  • Lead front-end architecture decisions and build scalable applications using React, Next.js, Angular, or similar frameworks; enforce coding standards, accessibility, and performance benchmarks.
  • Design and govern secure authentication, authorization, and user-management systems across AI application surfaces.
  • Develop and review responsive interfaces that enable intuitive, high-performance interaction with AI systems.
  • Drive prompt engineering, multi-step agent workflow design, memory and context management, and Model Context Protocol-based tool integrations; establish evaluation frameworks and engineering best practices.
  • Own AI model performance evaluation and optimization programs, defining benchmarks for accuracy, latency, cost, and user experience; lead trade-off decisions and communicate findings to technical and non-technical stakeholders.
  • Architect and develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django; define service boundaries, data contracts, and resilience patterns for AI-integrated systems.
  • Lead the design and governance of RESTful APIs and microservices that expose AI capabilities; establish API standards, versioning strategies, and documentation practices.
  • Create secure authentication, authorization, and user-management systems.
  • Develop responsive user interfaces for interaction with AI systems.
  • Lead integration strategy across enterprise systems, databases, APIs, customer relationship management systems, and software-as-a-service platforms; evaluate build-versus-buy decisions and maintain documented integration patterns.
  • Architect and oversee connectivity of AI solutions to structured and unstructured data sources, including vector stores, data lakehouses, and real-time event streams; ensure data quality, lineage, and governance standards.
  • Assist with supervision as requested, including interviewing, hiring, training employees, and planning or assigning project tasks.
  • Serve as a company representative and liaison in interactions.

Desired Qualifications

  • A master's degree.
  • Experience with React, Next.js, Angular, or similar front-end frameworks.
  • Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or Model Context Protocol.
  • Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, Databricks, AWS, or Google Cloud Platform environments.

About the Company

Revantage Corporate Services

Comprehensive real estate corporate services platform

Revantage Corporate Services provides a full suite of corporate services for Blackstone’s real estate investments worldwide. It combines accounting, tax, legal and risk management, capital markets and treasury, valuations, and technology into one operating platform and charges on an allocated-cost basis to support the entire lifecycle of real estate assets, including sustainability guidance. The company operates as a captive service provider focused exclusively on the Blackstone ecosystem, not the general market, enabling integrated governance and data-driven decision-making. Its goal is to improve efficiency, governance, and value across Blackstone’s real estate portfolio.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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