Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and mid-level generalist title increase applicant density.
AI agent engineering is transferable, but banking experience increases domain specificity.
Niche mandatory stack (Google ADK/Langchain, Python, MongoDB, Kafka) with low years requirement.
Participate in low to moderately complex technology projects including installation, upgrades, deployment, and identifying service quality improvements.
Design, code, test, debug, and document software for low to moderately complex programs, focusing on AI-Assisted servicing platform using Google ADK/Langchain.
Collaborate with product, operations, and architecture teams and actively participate in Agile engineering practices including sprint planning, reviews, and retrospectives.
Minimum 2+ years of software engineering experience or equivalent through work experience, training, military experience, or education.
Hands-on experience with Python-based backend development, Google ADK/Langchain, and building AI agents in agentic environments.
Experience with MongoDB or any NoSQL database and familiarity with Kafka/Queues and workflow implementations.
Exposure to banking domain concepts like KYC, onboarding, banking, and basic understanding of cloud-native concepts.
Candidates with strong backend engineering skills focused on clean design and operational excellence in AI-assisted platforms.
Experienced in Agile development environments with ability to estimate work and actively participate in Agile ceremonies.
Proficient in building robust APIs, workflows, and task-based processing within agentic AI frameworks and banking-related domains.