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 solid 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 (Bangalore Metropolitan Area)
🏢 Azentio
📍 Bangalore Metropolitan Area