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Build and deploy enterprise-grade voice AI assistants that handle thousands of daily customer interactions, integrating with telephony systems and optimizing performance for measurable ROI.
Build and maintain Tangerine’s AI/ML platform, including MLOps, RAG pipelines, and agentic systems, to power next-gen banking features and client experiences.
Build and deploy AI agents and GenAI systems on AWS, integrating them into insurance workflows while optimizing performance and mentoring junior developers.
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Principal AI Engineer at Mastercard designing and building enterprise-scale AI platforms, cloud-native systems, and GenAI solutions to power secure, reliable AI applications across the company.
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Builds and maintains AI-infused front-end tools for developers to design, test, and deploy enterprise-grade agents using Google’s agentic platform.
Senior AI Engineer builds and deploys production-grade LLM-powered services, agentic workflows, and retrieval systems using Python, GPU cloud, and Azure AI.
Lead a small team to design, build, and deploy production-grade generative AI systems using Python, RAG pipelines, vector databases, and cloud platforms while mentoring engineers and aligning solutions with business goals.
Build and lead Gen AI products using Python, React, and AWS, designing LLM pipelines, Agentic AI, and RAG systems while collaborating with cross-functional teams.
Build and deploy generative-AI models (RAG, zero/few-shot learning) for capital-markets use cases like summarization and conversational AI, integrating them into existing tools for research, banking, sales, and trading.
Lead the design and deployment of AI-powered services, owning end-to-end AI solutions with a focus on architecture, data grounding, and production reliability in a regulated industry.
Build and scale the backend infrastructure for SMS-based AI agents that automate insurance workflows like quoting, claims, and policy servicing, integrating with carrier systems.
Build agentic AI systems for software-defined vehicles, designing end-to-end pipelines and deploying LLMs/agent frameworks to solve automotive challenges at scale.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Build and deploy production-grade AI systems for banks and insurers, automating back-office workflows with Python, ML frameworks, and compliance-first design.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
Build and deploy AI-powered banking and fintech solutions using LLMs, Python, and Java, focusing on conversational interfaces, automation, and data pipelines for regulated financial institutions.
Build and simulate humanoid robots that mimic human movement, integrating AI reasoning with physical motor control using ROS 2, reinforcement learning, and NVIDIA Isaac Sim.
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