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Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Job Description: AI Architecture & Leadership Manager Job Title: AI Architecture & Leadership Manager Experience: 10+ Years Location: Pune / Bengaluru / Hyderabad / Mumbai Employment Type: Full-Time Job Summary…
Staff Full Stack Software Engineer leading OCR and text extraction systems for a legal document management SaaS, building event-driven architectures on AWS with C#/.NET, Kafka, and OCR technologies like Tesseract and Apryse.
Data engineer designing semantic data layers, graph schemas, ontologies, and RAG pipelines on AWS (S3, Glue, Aurora, Neptune, Bedrock) to power enterprise-scale AI systems.
Additional Location(s): N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in…
The Director of Data Science will lead a team to develop predictive models and customer intelligence strategies for media brands, focusing on personalization, engagement, and product growth. The role involves leveraging Python, SQL, and machine learning to drive actionable insights across web and mobile platforms.
Your role: We are seeking an innovative AI & Automation Engineer to design and implement AI-driven automations and internal copilots that optimize workflows across our organization. This role combines cutting-edge…
Designs, trains, and deploys AI/ML models and data pipelines to power predictive analytics for systematic trading in finance, using Python, SQL, and modern AI tools.
The Senior AI/ML Full Stack Engineer will design and build end-to-end AI solutions, including RAG pipelines, LLM guardrails, and full-stack applications. The role involves managing MLOps, CI/CD pipelines, and production monitoring for AI services.
Software developer building AI-infused insurance workflow solutions using RAG, semantic search, and speech AI, with a focus on scalable cloud deployment and data privacy compliance.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
As a Senior Backend Engineer, you will build and maintain AI-powered features and microservices using TypeScript and serverless architectures to enhance sales workflows. You will collaborate in an agile team to integrate LLMs and third-party APIs while focusing on scalable, secure, and high-performance system design.
Senior Software Engineer on the OLAP Platform team building the analytical data layer that powers real-time reporting, search, and AI-driven data access using Kotlin/Java, OpenSearch, and federated GraphQL for a restaurant technology platform serving 180,000+ businesses.
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
Designs and structures knowledge systems to train and enable global partners on complex data storage solutions, integrating AI-ready learning architectures and instructional design.
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
Senior Product Owner leading AI research initiatives, semantic search, ontology/metadata frameworks, and AI-powered product features at a regulatory and sustainability intelligence company, collaborating closely with engineering, research, and business stakeholders.
Designs and builds AI-powered features for a CRM platform using C# and .NET, including agents, copilots, and RAG systems, while ensuring reliability and security.
The Web Solutions Engineer will build and deploy scalable AI-driven business applications and internal tools for YouTube's partner ecosystem. The role involves full-stack development using TypeScript, Python, and Google Cloud AI technologies to integrate LLMs and RAG architectures into enterprise workflows.
The AI Application Engineer builds production-ready, user-facing AI applications and copilots for enterprise clients using Python, LLMs, RAG, and cloud infrastructure. The role involves bridging the gap between AI model development and scalable backend deployment to solve real-world business challenges.
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