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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.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
Senior AI Engineer building and extending an AI-augmented Quality Engineering framework using Python, agentic frameworks (MCP, LangChain), MLOps, and CI/CD pipelines to enable AI-assisted testing, self-healing automation, and performance testing.
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…
Design, build, and optimize enterprise AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini), RAG architectures, vector databases, and Python-based cloud-native development.
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
Hands-on software engineer manager building AI-driven workflow and automation solutions at State Street Investment Management using Python, Google Gemini Enterprise, LangChain/LangGraph, and cloud services in a regulated financial environment.
Staff AI Engineer at Sainsbury's designs and standardizes AI engineering practices across teams, building reusable patterns and guiding high-impact AI projects using Python, Azure, and generative AI frameworks.
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.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
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