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The Python AI Engineer will design and build scalable AI-powered applications, microservices, and APIs using Python, LLMs, RAG, and Agentic AI frameworks. The role involves managing the full SDLC, including CI/CD, containerization, and event-driven architecture.
Build responsive web and mobile applications using React/React Native while integrating AI/LLM capabilities—prompt engineering, AI agents, RAG—using Python and frameworks like LangChain.
Key Responsibilities: Design, develop, and deliver scalable microservices from architecture through production deployment. Lead backend system design and implementation, ensuring robust, secure, and maintainable…
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Designs and implements security controls for autonomous AI systems, RAG pipelines, and agentic workflows to prevent misuse, data leakage, and compliance violations in a regulated federal healthcare environment.
Senior AI engineer builds and optimizes agentic AI systems that analyze legacy software codebases for federal healthcare modernization, using LLMs, RAG, and autonomous agents to deliver explainable, traceable answers.
Designs and builds secure identity and access management systems for AI agents and enterprise applications, integrating with cloud IAM providers and enforcing Zero Trust principles in regulated environments.
The Senior AI Engineer will design and implement evaluation pipelines, observability frameworks, and quality metrics for AI-powered features within a board intelligence platform. The role involves hands-on development in Python or C#/.NET to ensure LLM-based systems are reliable, cost-effective, and performant in production.
Full Stack Engineer building enterprise applications infused with Generative and Agentic AI across the full SDLC — spanning React/Angular/Java/.NET/Node.js/Python stacks, cloud-native microservices, and LLM/RAG/agent integrations.
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated…
Overview Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating the adoption of Microsoft technologies. With a global team of…
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
The QA Lead will define and execute quality strategies for a cloud analytics platform, focusing on both traditional software and AI-powered, agentic systems. The role involves leading automation efforts, establishing testing methodologies, and ensuring reliability across CI/CD pipelines using Python, TypeScript, and various AI frameworks.
Senior Data Scientist in Westpac's centralised DDAI team, designing and deploying production-grade ML and Generative AI solutions end-to-end using Python, deep learning frameworks, and cloud platforms.
The Principal Core Infrastructure Software Engineer leads the architecture and development of scalable, agentic AI systems and distributed infrastructure on Oracle Cloud. This hands-on role involves designing production-grade AI platforms, managing LLM orchestration, and ensuring system reliability and performance at scale.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
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