AI Engineer at Accruent in Bengaluru East, Karnataka, India | Kablio

Role

Description

ai production

llm integration

python development

poc build

azure deployment

data integration

Collaborate closely with business stakeholders and cross-functional teams to productionize AI applications.
Stay current with emerging LLM frameworks (LangChain, CrewAI, n8n, etc.) and integrate them into enterprise workflows.
100% hand-on development of Python-based solutions and UI web applications for AI functions.
Rapidly build, test, and iterate on proof-of-concepts (PoCs) for real-world business challenges.
Build and deploy scalable App Services and AI Apps on the Azure Cloud.
Work with structured and unstructured data, leveraging both RDBMS and NoSQL databases including Snowflake.
Design, develop, and deploy AI applications leveraging LLMs and Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning, Azure AI Foundry).
Mentor other IT staff and provide technical leadership across the IT organization.

Requirements

azure cert

python

llms

vector db

ci/cd

rpa

Azure certification (AI Engineer Associate, Solutions Architect, or Developer).
Communication Excellence – can clearly explain complex AI/ML concepts to non-technical audiences.
Experience working with Azure AI Foundry and integrating AI models.
Strong experience with Azure Cloud – building and deploying App Services and AI Apps.
Familiarity with vector databases (e.g., Pinecone, Qdrant, Azure Cognitive Search).
Adaptability – thrives in fast-paced, ambiguous environments with shifting priorities.
Solid understanding of software engineering practices, CI/CD pipelines, and DevOps in Azure.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
Knowledge of RPA tools (Power Automate, UI Path) and integration with enterprise systems.
Strategic Thinking – ability to translate business problems into technical AI solutions.
Collaboration & Influence – skilled at working with stakeholders across business and technology teams.
Leadership & Mentorship – capable of guiding other engineers, fostering best practices, and raising overall team capability.
Software engineering experience, with work background focused on AI/ML.
Strong knowledge of databases – both RDBMS (SQL, PostgreSQL, MySQL) and NoSQL (CosmosDB, MongoDB).
Exposure to building chat-based AI applications integrated with Microsoft Teams, Power Apps, or web portals.
Experience with LLM orchestration frameworks (LangChain, CrewAI, n8n, etc.).
Prior experience in Salesforce & Snowflake integration is a strong plus.
Proven hands-on experience with LLMs (Azure OpenAI, HuggingFace, RAG pipelines, etc.).
Experience in UI/web app development (HTML, JavaScript/TypeScript, React/Angular).
Problem-Solving Mindset – approaches challenges with creativity, pragmatism, and a solution-oriented attitude.
Proficiency in Python for AI/ML development and automation.
Experience integrating LLMs into business process workflows and chat-based UI (Teams, Power Apps, etc.).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

>$700M

Revenue

The company has achieved significant financial success with revenue exceeding $700 million.

90%+

Cost Efficiency

The company's solutions help reduce operational costs by 90% or more for its clients.

98%

Customer Satisfaction

Over 98% of clients report satisfaction with the company's solutions and support.

Leverages cutting-edge technologies like AI, automation, IoT, and machine learning to deliver tailored solutions.
Winning numerous industry awards for innovation and customer impact.
Presence in 110+ countries with a global network of experts.
Empowering organizations to realize significant operational efficiencies.

Culture + Values

Drive to Excellence
Humility
Winning Attitude
Integrity
Results Orientation
Grit

Environment + Sustainability

15% reduction

Energy Costs

Average reduction in energy costs for customers using integrated facilities management software.

Monitors and controls energy and utilities to reduce energy‑related spending via IoT‑enabled energy sustainability management tools
Uses configurable rules engine and IoT sensors to automate compliance logging, reduce waste, decrease work‑order costs, and improve air quality and comfort

Inclusion & Diversity

100% Satisfaction

Employee Work-Life Balance

Millennials report full satisfaction with work/life balance, reflecting the company's commitment to employee well-being.

Maintains Employee Resource Groups including Alianza, Empower, Pride, Culture Champions, Ujima, Accruent Cares, and Inclusion & Diversity Council
Provides mentorship programs globally, enabling employees to serve as mentors or mentees

Articles

Careers at Accruent

Accruent Solutions Overview

Accruent Blog

Role

Description

ai production

llm integration

python development

poc build

azure deployment

data integration

Collaborate closely with business stakeholders and cross-functional teams to productionize AI applications.
Stay current with emerging LLM frameworks (LangChain, CrewAI, n8n, etc.) and integrate them into enterprise workflows.
100% hand-on development of Python-based solutions and UI web applications for AI functions.
Rapidly build, test, and iterate on proof-of-concepts (PoCs) for real-world business challenges.
Build and deploy scalable App Services and AI Apps on the Azure Cloud.
Work with structured and unstructured data, leveraging both RDBMS and NoSQL databases including Snowflake.
Design, develop, and deploy AI applications leveraging LLMs and Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning, Azure AI Foundry).
Mentor other IT staff and provide technical leadership across the IT organization.

Requirements

azure cert

python

llms

vector db

ci/cd

rpa

Azure certification (AI Engineer Associate, Solutions Architect, or Developer).
Communication Excellence – can clearly explain complex AI/ML concepts to non-technical audiences.
Experience working with Azure AI Foundry and integrating AI models.
Strong experience with Azure Cloud – building and deploying App Services and AI Apps.
Familiarity with vector databases (e.g., Pinecone, Qdrant, Azure Cognitive Search).
Adaptability – thrives in fast-paced, ambiguous environments with shifting priorities.
Solid understanding of software engineering practices, CI/CD pipelines, and DevOps in Azure.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
Knowledge of RPA tools (Power Automate, UI Path) and integration with enterprise systems.
Strategic Thinking – ability to translate business problems into technical AI solutions.
Collaboration & Influence – skilled at working with stakeholders across business and technology teams.
Leadership & Mentorship – capable of guiding other engineers, fostering best practices, and raising overall team capability.
Software engineering experience, with work background focused on AI/ML.
Strong knowledge of databases – both RDBMS (SQL, PostgreSQL, MySQL) and NoSQL (CosmosDB, MongoDB).
Exposure to building chat-based AI applications integrated with Microsoft Teams, Power Apps, or web portals.
Experience with LLM orchestration frameworks (LangChain, CrewAI, n8n, etc.).
Prior experience in Salesforce & Snowflake integration is a strong plus.
Proven hands-on experience with LLMs (Azure OpenAI, HuggingFace, RAG pipelines, etc.).
Experience in UI/web app development (HTML, JavaScript/TypeScript, React/Angular).
Problem-Solving Mindset – approaches challenges with creativity, pragmatism, and a solution-oriented attitude.
Proficiency in Python for AI/ML development and automation.
Experience integrating LLMs into business process workflows and chat-based UI (Teams, Power Apps, etc.).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found