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 solid 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.

📌 Software Engineer AI (Bengaluru)
🏢 Azentio
📍 Bengaluru