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Develops and operates production-grade multi-agent systems and autonomous workflows, focusing on RAG architectures, knowledge graphs, and hybrid retrieval strategies for AI-driven document processing and LLM optimization.
Builds and deploys AI/ML and agentic systems as a Senior Engineer, focusing on robust backend APIs, production-grade pipelines, and cross-team collaboration to integrate AI solutions.
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
Role: GenAI Lead Engineer Experience: 8+ years total (with significant hands-on GenAI / LLM work) Job Overview: We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Senior Data Scientist building and deploying production ML models and GenAI agentic workflows for Grab's financial services lending products in Singapore, using Python, Spark, and frameworks like LangGraph.
Design and deliver enterprise cloud platforms and AI-enabled workloads for customers, integrating AI tools into engineering workflows while leading cloud migrations and modernization programs.
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
This Data Scientist role focuses on designing and deploying Generative AI and Agentic AI systems to automate business workflows like claims processing and underwriting. The position involves working with stakeholders to solve complex data problems using LLMs, orchestration frameworks, and advanced analytics.
Senior engineer in Spain builds and tests AI-driven cybersecurity platforms, focusing on LLM agents, automation frameworks, and cloud-native tooling like Kubernetes and Terraform.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
Design and deploy LLM-powered validation pipelines and AI integration solutions within NVIDIA's Silicon Co-Design Group, using Python, static languages (C/C++/Java), and AI/ML frameworks to modernize semiconductor design and automation infrastructure.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
DevOps Engineer for Build & Release Management on a contract basis, maintaining Windows-based dev infra, automating CI/CD pipelines, and integrating AI-based services using tools like Azure DevOps, Docker, and LangChain.
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
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