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: Solid 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: 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: 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.

Education

Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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