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Lead the design and delivery of LLM‑powered AI agents and reusable frameworks for UKG's workforce platform, defining architecture, APIs, and observability while mentoring engineers and collaborating across product, security, and compliance teams.
The Director, AI and Data Science leads AI enablement and hands‑on research at a biotech firm, spending half the time partnering with cross‑functional teams to build and deploy AI‑driven workflows and the other half conducting genetics and bioinformatics analyses using Python, R, LLMs and cloud platforms.
As an Applied AI Engineer at ShipBob, you'll design and implement autonomous agents and agentic systems that handle multi-step reasoning, tool-calling, and complex business logic for logistics operations. Core technologies include LLMs, agent architectures (ReAct, Plan-and-Execute), Python, .NET, and frameworks like LangGraph and CrewAI.
The Role. This role is a key part of a dedicated global in-house creative production team driving creative innovation within the marketing team of this long-time client - a global leader in the Tech industry. We are…
Lead development of AI agents and multi‑agent systems using large language models, overseeing the full product lifecycle from hypothesis testing to production deployment, working with Python, PyTorch, LangChain/LangGraph, and collaborating with business and IT teams.
The ML/AI Engineer will design, train, and productionize machine‑learning and LLM‑based models, build MLOps pipelines, and integrate AI agents into trading systems, using Python, PyTorch/TensorFlow, GCP/Azure services (Vertex AI, BigQuery ML, Azure ML), Docker/Kubernetes, and related tools.
As a Data Science Engineer intern, you’ll develop Python‑based computer‑vision and generative‑AI models to process construction site images and point‑cloud data, create annotated datasets, automate pipelines, run benchmarks, and produce technical reports.
Build and own internal reliability tooling for developers and SREs, automating processes, monitoring site health, and deploying applications on GCP using AI agents, Terraform, Kubernetes, and observability stacks.
AI/ML Engineer (initial 6-month contract, hybrid) supporting a public sector organisation's AI Accelerator programme. Day to day involves building and deploying ML and generative AI solutions using Python, Azure, LLMs/RAG and MLOps practices like CI/CD and model monitoring.
An agentic AI delivery role at HCLTech: embedded with clients, you turn ambiguous business problems into production autonomous and multi-agent systems built in Python, owning concept-to-production including evals, security and DevSecOps, while leading a small pod of 3 agent engineers. Core stack: Python, LangGraph, OpenAI Agents SDK, MCP, Amazon Bedrock and LLMs.
Develop and deploy generative AI/LLM solutions, including RAG pipelines, vector database integration, and autonomous agent workflows, using Python, cloud services, and microservice APIs.
APAC Solution Architect supporting Voice AI Connect and Live Hub business across Southeast Asia, Japan, and Hong Kong. Leads technical qualification, solution design, and POC execution for Voice AI and CX Automation opportunities while driving commercial growth through customer discovery and partner engagement.
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide…
Lead the design and development of an AI LLM platform for defense, building end-to-end features in Python and FastAPI while collaborating with stakeholders.
The Data Scientist will design, build, and evaluate LLM‑based and classical ML models for fraud and risk detection, own prompt engineering, and ship models into real‑time streaming pipelines, collaborating closely with engineers. Core technologies include Python, large‑scale data processing, AWS cloud, and modern ML infrastructure.
Senior full-stack Java developer building and maintaining software in an enterprise banking environment for Sombra in Medellín, Colombia. Day to day: independent feature delivery with Java, Spring, SQL and AWS, plus building AI-assisted development workflows using prompt engineering, MCP and CLI tooling.
A chemistry subject-matter expert red-teams Generative AI systems to catch dual-use chemical risks — auditing model outputs for toxicology precision, hidden synthesis instructions, and regulatory compliance. Requires a PhD-level chemical science background plus hands-on adversarial prompt research and AI safety evaluation.
Lead Go Engineer who architects and delivers scalable distributed Go backend systems while owning AI/ML integration in production — LLMs, RAG pipelines, OpenAI APIs, LangChain. Mentors senior engineers, runs architecture/code reviews, and improves CI/CD and observability, working remotely on 09:00–18:00 CEST hours.
Designs and builds AI-driven automation solutions for enterprise business apps, integrating APIs and cloud platforms like Azure/Power Platform to streamline workflows and enhance scalability.
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