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ML Operations Engineer owning production ML/LLM model serving, deployment, and operations in Mercari's cloud-native environment using Kubernetes, Terraform, Python, and NVIDIA/TPU stacks (Triton, TensorRT-LLM, JAX).
The AI Agent Engineer will design, maintain, and evaluate system prompts and agent skills for Pixalate's production-grade AI agents used in ad-fraud detection and analytics. The role focuses on engineering agent behavior, tool selection, and rigorous evaluation suites to ensure accuracy and safety in customer-facing applications.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
TIQ Solutions is seeking an AI Engineer to develop production-grade AI agents, RAG applications, and machine learning models for enterprise clients. The role involves building backends and integration services using Python, FastAPI, and various LLM frameworks.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
AI Software Engineer building production AI-enabled applications, integrating LLMs (OpenAI, Anthropic) into enterprise software using Python, C#/.NET, and Azure/AWS cloud infrastructure.
Build end-to-end AI product features for a SaaS platform, integrating LLMs and AI agents using Python/TypeScript, React, and cloud services like Azure/AWS.
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.
This internship involves developing a Generative AI assistant to guide users through complex microscopy workflows for life-science applications. The intern will work on optimizing on-prem LLM chat agents, improving inference response times, and implementing guardrails to reduce hallucinations.
Hands-on Red Team & AI Security Engineer at MUFG performing adversary simulation, offensive security testing, and AI/LLM security assessments across enterprise attack surfaces, using scripting (Python/PowerShell/Bash) and offensive tooling.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
The AI Engineer will design and implement LLM orchestration patterns and build AI agents using Python or Java. The role involves integrating multi-modal models and deploying GenAI applications across AWS, Azure, and Google Cloud platforms.
Data & AI Engineer split between monitoring/reconciling live transaction and registry data, and building AI-agent tooling (MCP server, AI search) using SQL, Python, and LLM APIs at a Singapore-based regtech company.
Contract AI Engineer building and deploying ML/AI applications, LLMs, and generative AI solutions using Python and cloud platforms for a retail business in London.
This role leads the development and deployment of AI-driven agentic systems to accelerate small-molecule drug discovery workflows. The scientist will bridge computational chemistry and AI engineering to build tools that enhance molecular design, hypothesis generation, and decision-making across the drug discovery lifecycle.
Design, build, and support AI-powered and GenAI solutions (LLMs, agents, workflow automations) using Python within Morgan Stanley's Cyber Security Operations, collaborating across engineering, data, security, and business teams.
Sr. GenAI Specialist Solutions Architect at AWS focused on State & Local Government and Education customers, designing GenAI architectures using Amazon Bedrock, SageMaker, and Amazon Q, leading POCs and technical deep-dives, and driving adoption of AWS AI/ML services.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage…
Lead the design of enterprise agentic AI architectures for supply chain decision-making at AWS, collaborating with C-suite stakeholders, creating reference architectures, and shaping the AWS product roadmap for the Korea/APJ market.
Principal Engineer on Improvado's Platform Team, architecting and evolving Python-based data pipeline infrastructure (500+ integrations) while defining how agentic coding and AI-assisted development are adopted at scale across the engineering org.
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