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Build and maintain the infrastructure that powers large-scale AI platforms, including RAG systems, APIs, and MLOps, across AWS GovCloud, on-prem, and multi-cloud environments.
Lead a team building autonomous AI agents and LLM applications using frameworks like LangChain and LangGraph, integrating them with enterprise systems and optimizing performance for client projects.
AI Engineer integrates AI tools like GitHub Copilot into development workflows, advises teams using Python/Java/JS, and optimizes CI/CD with GitHub Actions to boost developer productivity.
Design and fine-tune LLMs and NLP pipelines to extract market insights from global financial data using RAG and agentic workflows.
Senior role building scalable data pipelines, semantic layers, and automated analytics for a major bank using Python, SQL, and distributed systems.
Senior AI Engineer We’re looking for a Senior AI Engineer to help build the technical foundation for Patsnap’s next phase of AI transformation. You’ll design and develop the knowledge and context infrastructure that…
Leads generative AI and advanced analytics projects, designing systems with LLMs, RAG, semantic search, knowledge graphs, and agentic AI for a global analytics and tech organization.
We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
🚀 What You'll Do Develop AI platform components, including AI Agents , MCP Servers , and orchestration services. Build scalable backend services using Java and/or Python . Develop REST APIs, event-driven services,…
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Build and operate D-Wave’s internal AI platform, integrating LLM tools, CI/CD pipelines, and cloud services to automate workflows and accelerate quantum-computing development.
Job Summary We are seeking an experienced Data & Integration Engineer to join our enterprise data team supporting next-generation Generative AI (GenAI) initiatives. This role sits at the intersection of system…
Build AI-enabled applications and agentic systems for a large bank, integrating MCP servers, LLM apps, and RAG retrieval with Python backend services and frontend applications.
About Us Meraki Labs (founded by Mukesh Bansal & Peeyush Ranjan) builds and rapidly scales AI-first, "moonshot" startups. We're looking for a high-velocity, production-grade engineer to build 0-to-1…
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Builds backend services for generative AI integrations using .NET/C# and Python, with LLM/RAG pipelines, SQL, Elasticsearch, Docker, Kubernetes, and CI/CD.
Role Overview We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform. Key Responsibilities Own the…
Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.We give Entrepreneurs time back to focus on what they love doing - growing their business and…
Designs AI agents and automation workflows to streamline business processes, improve reporting, and enhance data quality using tools like Power BI, ChatGPT, and Microsoft Copilot Studio.
Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
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