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Build AI-powered applications using LLMs, RAG pipelines, and vector search. Develop agents, prompts, and integrations with clean code and CI/CD, then prototype rapidly into production systems.
Build AI-powered applications using LLMs, RAG pipelines, and vector search; implement agents, prompts, and evaluation loops while integrating enterprise APIs and data sources.
Design and build enterprise-grade, AI-powered full-stack applications using Java/.NET, Python, React/Angular, and cloud-native tools to modernize legacy systems across multi-cloud environments.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and cloud services while delivering rapid prototypes.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and deploying scalable services with Java/Python/TypeScript.
Builds AI-powered agentic applications by implementing LLM tooling, RAG pipelines, and vector search, integrating with enterprise systems, and ensuring safety/testing. Core tech: Python, TypeScript/Node.js, Java, LangChain, vector DBs (pgvector, Pinecone).
Build AI-powered applications using Java full-stack, Python, and TypeScript, implementing agents, RAG pipelines, and vector search for rapid prototyping and production systems.
About The Role FDM is a global business and technology consultancy seeking a Solutions Architect to work for our client within the Public Sector sector. This is initially a 6 month contract with very good prospects to…
Build and maintain full-stack web apps using .NET Core/C# for backend APIs and Next.js/React for frontend, deploying to Azure with Terraform and CI/CD pipelines.
Senior software engineer building a logistics-focused government system (FLITES) to replace legacy item-catalog tools, using Agile, cloud tech, and modern SDLC practices.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating APIs and cloud services while writing clean, testable code and CI/CD pipelines.
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and APIs while owning full-stack development and CI/CD.
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Amazon OpenSearch is a fully managed and Serverless service that makes it easy to deploy, operate, and scale OpenSearch clusters for log analytics, full-text search, application monitoring, and more. As part of AWS, we…
Design and build a multi-agent GenAI reasoning layer using Amazon Bedrock, RAG, and AWS services to power a voice/chat HUD FHA Resource Center with grounded, safe interactions.
Conducts cloud-focused penetration testing and security assessments for hybrid/AWS/Azure environments, identifying vulnerabilities and attack paths while collaborating with teams to validate security controls and provide remediation guidance.
Conducts cloud-focused penetration testing and security assessments to identify vulnerabilities in cloud-native and hybrid environments (AWS/Azure) using tools like Docker, Kubernetes, Python, and offensive security frameworks. Collaborates with teams to develop attack methodologies, validate security controls, and provide remediation guidance.
Builds and deploys LLM-powered agentic workflows for network troubleshooting using LangGraph, MCP servers, and Kubernetes, focusing on reasoning pipelines, tool integration, and production-scale AI systems.
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