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Develop AI-driven automation frameworks and testing strategies, integrating Generative AI and LLMs to validate platform services and APIs for the convenience retail and petroleum industries.
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
Lead the end-to-end production lifecycle of AI applications for international government partners, ensuring reliability, security, and compliance while bridging technical insights with high-level stakeholders.
Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. The B2C platform, based on the…
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
The Senior AI Engineer designs and deploys Generative AI solutions, including LLMs, RAG architectures, and agents, to enhance enterprise automation and decision-making. The role involves integrating AI models with enterprise data platforms on AWS and Azure while ensuring model security, quality, and performance.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Build and scale an AI-powered conversational investment research platform (Floyd) using LLMs (OpenAI, Google Gemini, Anthropic Claude) to automate complex workflows for pension fund analysts. Own end-to-end development, from agentic system design to production deployment, while collaborating closely with investment teams to refine and adopt AI tools.
Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
AI/NLP Engineer at BoomerangFX will design and deploy NLP pipelines, build RAG systems, fine-tune LLMs, and develop HIPAA/PIPEDA-compliant AI features integrated into .NET8/ReactJS platform on Azure for healthcare practice management.
Define and govern enterprise AI architecture for a life sciences company, developing standards, reviewing designs, and leading PoCs across ML, GenAI, and agentic AI using Python, cloud platforms, RAG, and vector databases.
A DevOps Engineer who builds, deploys, and maintains scalable infrastructure, working with development teams to ensure seamless delivery pipelines. Key technologies include CI/CD tools, Terraform, Ansible, Docker, Kubernetes, and cloud platforms like AWS, Azure, or Google Cloud.
Senior Applied AI Engineer building LLM and retrieval systems for an AI Moderator platform that conducts expert interviews and generates structured insights. Work involves LLM orchestration, API development, and vector database optimization for enterprise and investment clients.
The Principal Software Engineer will lead integration and data architecture for a healthcare supply chain platform, focusing on event-driven systems, API standards, and data modeling. This hands-on role involves guiding engineering teams through service decomposition and modernizing messaging infrastructure using AWS and AI-assisted development workflows.
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
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