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Lead Software Engineer at a tech consultancy, leading client engagements from discovery to production across multiple languages and frameworks, with increasing focus on AI/ML and agentic systems.
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Salary: £? - ? per year Requirements: We are looking for an experienced AI Engineer or Generative AI Engineer with strong hands-on experience across Generative AI, Large Language Models, Retrieval-Augmented Generation,…
Build and operate large language model serving infrastructure at scale using Python, Kubernetes, and cloud platforms, applying site reliability engineering practices to AI platforms at J.P. Morgan.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for enterprise customers, bridging Google’s AI products with client infrastructure while feeding insights back to product teams.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Monitors and secures AI tools, agents, and models across the company, hunting for unauthorized usage and data risks while supporting compliance with AI governance frameworks like ISO 42001.
Monitors and secures AI tools, agents, and models in use across the company, hunting for unauthorized AI activity and ensuring compliance with AI governance frameworks like ISO 42001.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
Senior hands-on role designing and delivering scalable data and AI solutions—data pipelines, LLM/RAG integrations, and distributed data systems—translating architectural requirements into HLD/LLD specs and leading delivery teams in a hybrid setup based in Pune.
Designs and optimizes AI agentic systems (e.g., LangGraph, AWS Bedrock) for government clients, integrating LLMs with enterprise tools for workflow automation, testing, and debugging.
Designs and optimizes AI agent systems using foundation models (e.g., Claude Sonnet) to build intelligent workflows for government clients, integrating with enterprise tools and tuning agent behavior for real-world outcomes.
About the Role: The team: Our Engineering team develops and maintains modern, cloud-based applications and AI-powered solutions that support global business operations. Team members collaborate across Product,…
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
The AI Engineer will design, develop, and deploy AI-powered solutions, focusing on Generative AI, LLMs, and MLOps. The role involves building scalable applications using Python and integrating them into enterprise systems via APIs.
Design and develop Agentic AI solutions (multi-agent systems, RAG pipelines, LLM integrations) for Citi's Funds Transfer Pricing and Financial Hedging platforms using Python, SQL, and frameworks like LangChain and LangGraph.
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