About Azentio
Azentio Software incorporated in 2020 at Singapore, has been carved out of 3i Infotech, Beyontec Technologies and Path Solutions. Azentio Software provides mission critical, vertical-specific software products for customers in banking, financial services and insurance verticals and includes key products such as KASTLE™ (Universal Lending), AMLOCK™ (Anti-Money Laundering & Compliance software suite), iMal, PREMIA™ Astra (Core Insurance software), ORION™ (Enterprise Resource Planning software) and MFUND Plus™ (Asset Management platform). Azentio has over 800 customers in more than 60 countries, with a team of over 2,300 employees across offices in 12 countries (and growing) globally and is wholly owned by Funds advised by Apax Partners.
Azentio offers a comprehensive range of products – serving core operations to modern digital needs – for the financial services industry. Our deep domain knowledge and solutions in financial services extend across insurance, retail and corporate lending, Islamic Banking, anti-money laundering and asset management. In addition, Azentio proudly serves mid-market enterprises across the Middle East, Africa, Asia Pacific, and India with a comprehensive ERP solution.
At Azentio, we believe that growth is a continuous journey. We believe that each step of this journey must be taken by committing to excellence - excellence in our products, our services, our ideas, and our people.
Job Title: AI Senior Engineer
Years of Experience: 2 to 4
Location: Bangalore
Role Overview
We are looking for highly skilled and hands-on AI Engineers to design and build next-generation AI Agents for enterprise banking applications. The ideal candidate should possess strong software engineering fundamentals combined with practical experience in building AI-driven systems using modern language models, conversational AI, intelligent automation, and explainable AI techniques.
This role requires engineers who can architect and implement enterprise-grade AI solutions — not just experiment with theoretical AI concepts. Candidates must have real-world experience designing scalable, secure, explainable, and production-ready AI systems in regulated environments.
The selected engineers will work on building intelligent banking agents capable of:
-
Conversational interactions
-
Observational and event-driven reasoning
-
Workflow orchestration
-
Decision support
-
Context-aware automation
-
Enterprise integrations
Key Responsibilities
-
Design and develop AI Agents for banking and financial services applications.
-
Build conversational AI systems for banking workflows.
-
Develop observational and autonomous agents capable of monitoring events, learning patterns, and triggering intelligent actions.
-
Design AI-powered enterprise software solutions with strong focus on scalability, explainability, auditability, and security.
-
Work with Small Language Models (SLMs) and enterprise-grade learning models for domain-specific banking use cases.
-
Build AI architectures that support human-in-the-loop workflows and responsible AI principles.
-
Integrate AI models with enterprise systems, APIs, workflow engines, databases, and banking platforms.
-
Collaborate with product managers, architects, domain experts, and engineering teams to deliver production-grade AI applications.
-
Implement model monitoring, evaluation, explainability, and governance mechanisms.
-
Optimize AI systems for latency, performance, accuracy, and cost efficiency.
-
Participate in architecture reviews, technical design discussions, and proof-of-concept initiatives.
Required Skills & Experience
Core AI & Engineering Skills
-
Strong hands-on experience in designing and developing AI-powered applications.
-
Experience with:
-
Conversational AI
-
AI Agents
-
Autonomous/Observational Agents
-
Retrieval-Augmented Generation (RAG)
-
Prompt Engineering
-
Agentic workflows
-
AI orchestration frameworks
-
Practical experience working with:
-
Small Language Models (SLMs)
-
Large Language Models (LLMs)
-
Fine-tuning and model optimization
-
Strong software engineering and system design capabilities.
-
Experience building enterprise-grade distributed systems.
Programming & Technology Stack
Strong hands-on experience in:
-
Python
-
Java or Node.js
-
REST APIs and microservices
-
AI/ML frameworks and libraries
-
Vector databases and semantic search
-
Cloud platforms (AWS/Azure/GCP)
-
Containerization and orchestration (Docker/Kubernetes)
AI Frameworks & Tools
Experience with one or more:
-
LangChain
-
LlamaIndex
-
CrewAI
-
AutoGen
-
Semantic Kernel
-
Hugging Face
-
Open-source model ecosystems
Explainability & Responsible AI
-
Experience building explainable and auditable AI systems.
-
Understanding of:
-
Explainable AI (XAI)
-
AI governance
-
Responsible AI
-
Model evaluation frameworks
-
Bias mitigation
-
AI security and compliance
Enterprise Experience
-
Experience delivering AI solutions in enterprise environments.
-
Banking, fintech, or regulated industry experience preferred.
-
Strong understanding of scalable architecture, security, compliance, and operational resilience.
Preferred Qualifications
-
Experience in banking or financial services domain.
-
Exposure to loan processing, payments, treasury, risk, compliance, fraud detection, or customer servicing platforms.
-
Experience integrating AI with enterprise banking software platforms.
-
Familiarity with MLOps and AI lifecycle management.
-
Exposure to knowledge graphs, intelligent workflows, or multi-agent systems.
-
Understanding of data privacy and regulatory requirements in banking.
What We Are Looking For
We are specifically looking for engineers who:
-
Have built real AI applications in production environments.
-
Can independently design and implement AI-driven software systems.
-
Understand both AI models and enterprise software engineering.
-
Are practical problem-solvers with strong execution capability.
-
Can balance innovation with enterprise-grade reliability and governance.
This is not a research-only or theoretical AI role. Candidates must demonstrate strong hands-on implementation experience with production-grade AI systems.
Education
-
Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
What we Aim for?
Azentio aims to be the leading provider of Banking, Financial Services & Insurance (BFSI) & Enterprise Resource Planning (ERP) software products in Asia Pacific, Middle East & Africa & United States. We will achieve this by:
Providing world class software products, built on the latest technologies.- Providing best in class customer service, built on a deep understanding of our domains and local nuances.
- Being an employer of choice, attracting high quality talent.
- Achieving top quartile growth and margins.
Azentio Core Values:
We work as one, Collaborate without boundaries, and win together.
We work with Uncompromising Integrity and Accountability.
Customer is at the core of all that we do.
We are Diverse and Inclusive. We treat our people, our customers and our wider community
with Respect and Care.
We Innovate, we Excel and we Grow Together.
We Give Back to our communities through our business and our people.
We take Pride in all that we do and together we Enjoy the journey
