Senior Software Engineer-AI

Job Title: Senior Software Engineer-AI

Years of Experience: 2-4 years

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.