AI Engineer

In this role, you will:

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts

• Identify opportunities for service quality and availability improvements within the technology domain environment

• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments

• Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains

• Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements

• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements

• Provide information to technology colleagues, internal partners, and stakeholders

Required Qualifications:

• 6+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Role Summary

Software Engineer with hands-on experience in Google ADK/Langchain to design and build an AI-Assisted servicing platform meeting enterprise-grade standards. This role focuses on core backend engineering, clean design and operational excellence, delivered through Agile engineering practices

Key Responsibilities

• Design and Develop AI Agents using Google ADK/Langchain

• Implement production grade agents

• Build robust APIs and workflows

• Implement workflow and task-based processing

• Collaborate with product, operation and architecture teams

• Participate actively in Agile ceremonies

Job Expectations:

• Strong experience in Python-based backend platforms

• Strong experience in Google ADK/Langchain

• Strong experience in Agentic environments

• Strong MongoDB or any NOSQL

• Strong Experience in MCP

• Experience in Kafka/Queues, Workflows

• Exposure to Banking domain (KYC, Onboarding, Banking)

• Basic understanding of cloud-native concepts.

Agile and Delivery Practices

• Hands-on experience working in Agile

• Ability to estimate work

• Experience participating in spring planning, reviews and retrospectives