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Build and lead large-scale AI systems for federal programs, designing Python-based LLM solutions, RAG pipelines, and cloud-native architectures while ensuring compliance and security in regulated environments.
Build AI-assisted workflows to automate software development lifecycle tasks like code analysis, dependency discovery, and documentation generation using Python, orchestration frameworks, and AI models.
Build and refine an AI Copilot for ArcGIS Pro using LLMs and embeddings in C#/.NET and Python, collaborating with cross-functional teams to enhance GIS software with generative AI capabilities.
Builds and fine-tunes AI Copilot features for ArcGIS Pro, a GIS software, using Python/C# and NLP/ML models to enhance spatial data analysis and user workflows.
Design and build production-grade AI systems using Claude, MCP, and agentic frameworks; split time between architecture and hands-on coding while ensuring security, cost governance, and compliance.
Design enterprise AI solutions using generative agents, RAG, and AIOps to automate IT service management workflows like incident handling, diagnostics, and resolution.
Design and implement enterprise-scale generative AI and agentic AI systems using Azure OpenAI, RAG pipelines, and MLOps for production deployments.
Build and integrate a GenAI platform using large language models, RAG pipelines, and self-hosted frontier models for a Polish tech firm.
Design and build AI-powered automation solutions using Python/C# and Azure services to integrate systems, process data, and create LLM-driven agents that streamline business workflows.
Build and deploy enterprise-grade AI agents using LangChain/CrewAI for client solutions, integrating LLMs, APIs, and cloud platforms while supporting pre-sales demos and solutioning.
Design and build AI agents and workflows using frameworks like LangChain and LangGraph to automate IT service management tasks such as ticket triage and SLA tracking.
Build AI-driven automation for software engineering at a global bank: design deterministic agents, integrate LLMs into CI/CD, and deploy scalable cloud-native systems using AWS/GCP.
Engineering Manager, AI Platform Location: IND-Hyderabad-Sohini Tech Park, 3rd Floor, Financial District Remote Type: Hybrid: Work in Office Part-Time Time Type: Full time Job Description At Epiq , your work…
Orange Business is here! About us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic…
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Build and deploy generative-AI applications (RAG, agents, copilots) on Azure/OpenAI, turning healthcare and insurance data into production-grade AI services with robust governance.
Lead a team building AI-driven automation to detect and fix cloud security misconfigurations across AWS, Azure, and GCP, integrating agentic workflows into developer pipelines.
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Build and architect AI-powered integration and migration tools for a global bank, using LLMs, agents, RAG, and cloud services to modernize legacy systems and scale reusable components.
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