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Build autonomous AI agents using LangChain, LangGraph, and AutoGen, integrating RAG, knowledge graphs, and fine-tuned SLMs for edge deployment.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Architect and build DigitalOcean’s AI-native enterprise platform, defining standards for agentic systems, orchestration, and governance while integrating with core business tools like Salesforce and Workday.
Designs scalable, event-driven IT systems and AI workflows, modeling business processes and data structures while collaborating with dev teams on microservices and API integrations.
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Builds and optimizes multi-agent AI systems, RAG pipelines, and LLM integrations, focusing on production-grade prompt engineering, evaluation, and deployment.
Build and lead Gen AI-powered banking systems using RAGs and agentic frameworks, mentoring teams to deliver scalable, secure financial solutions on AWS/Azure.
Build and own the AI reasoning layer and agent orchestration framework for an enterprise GRC platform, shipping production-grade agentic systems that automate governance, risk, and compliance workflows.
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain on Google Cloud or Azure.
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
Lead the product strategy for Amgen’s cloud-native AI agent platform, enabling developers to build, deploy, and govern enterprise AI agents that accelerate drug discovery and R&D workflows.
Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
Data & AI – Manager CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across…
Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain) and vector search for enterprise RAG systems.
Build and deploy AI agents using LLMs, orchestration frameworks, and RAG pipelines to automate multi-step tasks for Morgan Stanley’s financial services platform.
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
Build and deploy AI agents that automate workflows, integrate with enterprise systems, and deliver intuitive front-end interfaces for Shell’s energy and enterprise use cases.
Build and deploy production-grade agentic AI systems for enterprise clients, including multi-agent orchestration, RAG pipelines, and LLMOps tooling.
Build and lead AI-powered engineering solutions for a large bank, focusing on Gen AI tools like RAGs and agentic systems to improve software development workflows.
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