Software Engineer

CBRE Group, Inc.; Hyderabad; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

CBRE Group, Inc. is seeking a Software Engineer to design, develop, and implement AI-driven software solutions for enterprise clients.

You will collaborate with stakeholders to understand business goals, translate problems into AI-enabled workflows, and deliver robust, scalable systems that integrate with client IT environments. You will prototype, productionize, and deploy AI agents, build data connectors, and provide training to client teams while aligning with project timelines and

Qualifications

• Expert-level in at least one modern programming language (Python/Java).
• Strong AI literacy: LLMs, embeddings, RAG, vector DBs.
• Hands-on with AWS/GCP/Azure and MLOps tooling.
• Experience designing and integrating AI services with enterprise systems.
• Solid SDLC and agile practice knowledge.
• Hands-on experience building AI agents or multi-agent systems.
• Familiarity with containerization technologies (Docker/Kubernetes).
• Experience with data analytics and visualization tools.
• Prior experience in commercial real estate or adjacent industries.
• Excellent written and verbal communication skills.
• Strong problem-solving, analytical, and organizational skills.
• Ability to work autonomously and manage multiple priorities.

Responsibilities

• Collaborate with enterprise clients and internal stakeholders to understand goals and constraints.
• Design, build, and deploy AI-driven solutions integrating core platforms into customer workflows.
• Translate business problems into AI solutions improving efficiency.
• Develop and maintain scalable AI-powered systems with reliable integration.
• Implement multi-agent systems and advanced AI techniques with LLMs.
• Prototype and productionize solutions with rapid iteration and client feedback.
• Build data connectors and pipelines for secure data flow between systems and AI platforms.
• Provide troubleshooting and support for AI-driven architectures.
• Deliver training, documentation, and enablement to client teams.
• Provide feedback to product and engineering teams for roadmap insights.
• Lead technical delivery of pilots and full-scale implementations.

Skills

Python/Java

AI literacy

Cloud platforms

APIs integration

SDLC & Agile

AI agents

Docker/Kubernetes

Data analytics

Client relations

Communication

Problem solving

Autonomous work

Consulting mindset

Real estate domain

Tools

Docker

Kubernetes

Salesforce

ServiceNow

Job description

About the Role

As a CBRE Software Engineer, you’ll be responsible for designing, developing, and implementing software solutions. This job is part of the Software Engineering job function. They are responsible for successfully executing and monitoring system improvements to increase efficiency.

What You’ll Do

• Collaborate directly with enterprise clients and internal stakeholders to deeply understand business goals, operational workflows, data landscapes, and technical constraints.
• Design, build, and deploy AI-driven solutions, integrating core AI platforms into customer systems and workflows.
• Translate complex business problems into viable AI solutions, focusing on where AI agents can augment or replace manual processes.
• Develop and maintain robust, scalable AI-powered systems, ensuring efficiency, reliability, and seamless integration with existing IT frameworks.
• Implement multi-agent systems and advanced AI solutions, utilizing techniques such as prompting, memory management, tool usage, and behaviour planning with Large Language Models (LLMs).
• Rapidly prototype and productionize solutions, working with client teams to whiteboard concepts, build prototypes, and iterate quickly based on feedback.
• Build connectors and data pipelines for secure and efficient data flow between client systems and AI platforms.
• Act as a technical solutions expert, providing troubleshooting, analysis, and support for AI-driven architectures.
• Provide training, documentation, and enablement to client business and operations teams, fostering self-sufficiency and adoption of AI tools.
• Serve as a critical feedback loop to internal product and engineering teams, influencing the roadmap based on customer insights and real-world deployment challenges.
• Lead the technical delivery of pilot projects and full-scale implementations, ensuring on-time delivery and adherence to performance metrics.

What You’ll Need

• Strong Programming Language Proficiency: Expert-level skills in at least one modern programming language (e.g., Python, Java).
• Strong AI Literacy: Demonstrable understanding of AI/ML fundamentals, including concepts like LLMs, RAG (Retrieval Augmented Generation), embeddings, and vector databases.
• Hands‑on experience with cloud platforms (AWS/GCP/Azure), including familiarity with MLOps tooling.
• Experience with API design and integration for AI services and enterprise systems (e.g., Salesforce, ServiceNow).
• Solid understanding of software development lifecycle (SDLC) best practices and agile methodologies.
• Agentic AI Hands‑on Experience: Practical experience in designing, building, and deploying AI agents or multi-agent systems that exhibit autonomous, proactive, and adaptive behaviours.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with data analytics and visualization tools.
• Prior experience in the commercial real estate or adjacent industries.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving, analytical, and organizational skills.
• Ability to work autonomously, manage multiple priorities, and deliver immediate value in open‑ended problem environments.
• Consulting mindset with a focus on stakeholder management, rapid prototyping, and iterative delivery.
• Ability to build and maintain trusted client relationships.