Agentic AI Engineer – Staff

Agentic AI Engineer responsible for developing AI solutions in Banking using Azure technology. Collaborating with teams to implement Generative AI and Agentic AI features based on business needs.

Posted 7/29/2026full-timeBengaluru • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI solutions, particularly in the Banking domain, utilizing Azure AI Services and Generative AI technologies. Proficient in converting functional requirements into AI components and collaborating with cross-functional teams to enhance AI-driven customer support and operational processes.

Highest-signal resume keywords

Generative AIMachine LearningAzure AI ServicesAI Application DevelopmentBanking Domain Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceData ScienceSoftware EngineeringAPIsRAG ComponentsLLM-Based FeaturesAutomation ComponentsDocument ProcessingWorkflowsCloud-Based Services

Soft Skills

CollaborationTeamworkCommunication

Tools & Technologies

Azure OpenAIAzure AI FoundryAzure AI SearchAzure FunctionsAzure DevOps

Certifications & Qualifications

Azure AIAzure FundamentalsGenerative AIMachine LearningCloud Technologies

Industry Keywords

KYCAMLFraud ChecksCustomer SupportOnboarding SupportLending SupportOperations Automation

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Support the development and implementation of Generative AI, Agentic AI, and AI solutions for Banking use cases under the guidance of senior team members and managers.
Convert functional requirements into basic AI components, prompts, APIs, scripts, workflows, and reusable development modules.
Build and enhance LLM-powered features, RAG pipelines, simple AI agents, document processing flows, and automation components.
Work with data scientists, AI engineers, senior developers, and banking domain stakeholders to develop and test AI solution components.
Contribute to banking-focused AI solutions for customer support, document intelligence, onboarding support, KYC/AML assistance, lending support, fraud checks, and operations automation.
Use Azure AI Services, Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, and Azure DevOps to support AI application development and deployment.

Requirements

What you’ll need

2–4 years of experience in Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Data Science, software engineering, or AI application development.
Hands-on experience in building AI / analytics / software solutions, preferably within the Banking domain.
Exposure to developing LLM-based features, RAG components, simple AI agents, APIs, cloud-based services, and reusable AI workflows.
Experience working in development teams and collaborating with senior developers, data scientists, engineers, and business stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field.
Certifications in Azure AI, Azure Fundamentals, Generative AI, Machine Learning, Cloud Technologies, or Agentic AI are preferred.

Benefits

Comp & perks

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.