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Build and deploy cloud-based Generative AI applications using Python/.NET on Azure, with React/Next.js for frontend features, focusing on LLMs, RAG, and agent architectures.
Senior Solutions Engineer owning technical strategy in enterprise deals across APAC for Qdrant's vector search engine—architecting vector search systems, building production-grade POCs, and acting as a technical account manager for strategic customers. Core technologies include vector search, RAG pipelines, LLMs, and distributed systems.
Full-Stack AI Engineer building AI-driven web applications with React/Next.js frontend and Python/FastAPI backend, focusing on media watermarking, embedding generation, and vector search systems for a global remote engagement.
Build and own production AI systems (voice agents, RAG pipelines, LLM orchestration) while mentoring engineers and advising C-level clients in a hybrid San Diego role.
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The Associate Director of Data Science leads a team in developing and deploying scalable AI solutions, including predictive analytics and Generative AI, within the insurance sector. This role combines strategic leadership, technical guidance, and cross-functional partnership to drive business adoption of AI products.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
The Senior Python Developer will design and maintain scalable full-stack web applications using Python frameworks like Django or FastAPI. The role involves managing PostgreSQL databases, cloud infrastructure, CI/CD pipelines, and mentoring junior team members.
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
The application window is expected to close on: 09/14/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The AI Center of Excellence…
Junior Software Engineers build/maintain enterprise Triage systems and data pipelines, focusing on automation, cloud workflows, and AI/ML integration to improve financial service efficiency.
The AI Engineer at Barclays will design and deploy production-grade AI/ML and LLM systems, focusing on agentic frameworks, MLOps, and RAG architectures within a secure banking environment. The role involves building internal developer tooling and collaborating across teams to deliver scalable, compliant AI solutions.
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