Designs, builds and supports production AI systems for Vantage Bank, including agentic workflows, retrieval pipelines, tool‑calling integrations, and evaluation frameworks.
Responsibilities
Design and build agentic AI workflows
Build and tune retrieval augmented generation pipelines
Integrate AI systems with bank data and services
Build and operate evaluation tooling
Deploy, monitor and support AI services in production
Requirements
Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Business Analytics, or a related quantitative field
Lead two data science sub-streams supporting commercial teams, owning technical direction and delivery of predictive, causal and optimization solutions.
Responsibilities
Lead, mentor and develop Senior Data Scientists and Data Scientists across both sub-streams
Build technical depth, modular coding standards and agile delivery habits
Lead the design, calibration and validation of Bayesian and frequentist Marketing Mix Models (MMM)
Oversee multi-touch attribution (MTA) and brand performance analytics
Design and govern experiments, including A/B tests, quasi-experimental designs and econometric analysis
Requirements
Bachelor's or Master's degree in Data Science, Statistics, Economics, Artificial Intelligence and Machine Learning, Computer Science, Business Analytics or another quantitative field
Design, build, integrate and deploy intelligent AI agents for conversational and autonomous experiences, spanning agent design, orchestration, tool integrations, evaluation, production deployment and continuous optimization.
Locations (3)
Hyderabad, Telangana, India
Chennai, Tamil Nadu, India
Noida, Uttar Pradesh, India
Responsibilities
Design and deploy LLM-powered agents that reason, plan, retrieve information and execute actions
Build multi-agent systems with orchestrators, supervisors and specialized agents
Data Engineer with experience in managing enterprise-level data life cycle processes, overseeing data ETL/ELT pipelines, and building scalable data solutions within Palantir Foundry.
Responsibilities
Provide architectural oversight for the company’s data platform and related initiatives
Assist development initiatives with design reviews, offering guidance on architecture and data modeling
Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources
Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
Requirements
Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field
Nice to have: Generative AI
Nice to have: Retrieval-Augmented Generation (RAG)
Develop, configure, and maintain AI agent workflows, prompt chains, and tool/function-calling integrations for AgentQ.
Build backend connectors, REST APIs, and lightweight data retrieval pipelines (RAG) linking enterprise data sources and vector stores with agent workflows.
Create and run automated test suites, benchmark datasets, and quality evaluations to measure agent accuracy, latency, and guardrail compliance.
Debug edge cases, monitor production agent runs, and iterate on prompts, retrieval parameters, and fallback logic.
Document agent architectures, API interfaces, and operational runbooks for cross-functional engineering teams.
Provide expert guidance, technical support and training related to AI technologies and applications to assist clients in understanding and implementing AI solutions.
Locations (3)
Philippines
Argentina
Colombia
Responsibilities
Provide advanced technical support for AI-related tools and applications
Assist clients in integrating AI solutions into their existing workflows
Design, develop and implement AI workflow automations
Identify opportunities for AI-driven automation and configure workflows
Conduct training sessions and workshops on AI technologies
Requirements
Bachelor’s degree in Computer Science, Information Technology or a related field
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