As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves hands-on development of AI-powered solutions for cyber security operations, focusing on prototyping, experimentation, and proof-of-concept development. You will work closely with an AI Solution Architect and Business Analyst to translate cyber use cases into secure and viable AI solutions, using technologies like OpenAI, LLMs, and RAG.
This role involves developing and evaluating AI and machine learning solutions, particularly using GCP, LLMs, and RAG. You will work closely with project managers and developers to deliver scalable and well-documented applications, gather business and technical requirements, and contribute to the entire software development lifecycle.
This role involves designing and developing Python backend services and APIs using FastAPI, building Generative AI and Agentic AI applications, and integrating LLMs with enterprise applications. You will work with AWS services, CI/CD pipelines, and collaborate with experienced AI engineers and architects to deliver secure, scalable AI solutions.
This role involves building and deploying production-ready AI applications, including LLM-based solutions and RAG systems, for enterprise clients. You'll work in a collaborative team, focusing on scalable and secure AI solutions, and contribute to reusable frameworks and best practices.
The role involves designing and building AI systems using LLMs, RAG, and related technologies, while working closely with research and engineering teams. Responsibilities include developing and maintaining high-quality production software, architecting microservice-based systems, and providing technical guidance to junior engineers.
This role involves developing and maintaining production-grade Python services for Generative AI and RAG solutions. Responsibilities include building and integrating LLM workflows, implementing retrieval and evidence processing, and optimizing response quality and performance.
Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
This role involves designing, developing, and deploying AI/ML applications using Python, PyTorch, and GCP. You will build and integrate generative AI solutions, containerize and serve machine learning models, and implement CI/CD pipelines and model monitoring. Collaboration with engineering teams and stakeholders is key.
This role involves leading the design, prototyping, and evaluation of OpenAI-powered solutions to enhance Cyber Security Operations Centre (SOC) activities. You will work closely with the AI Solution Architect and Business Analyst to develop and validate proof-of-concepts, focusing on the practical application of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI in real-world cyber use cases.
This role involves building and deploying AI solutions within the Microsoft ecosystem, focusing on Azure AI, Copilot, and enterprise integrations. You'll work hands-on to develop, test, and maintain AI applications, ensuring they are secure, reliable, and add value to the business.
This role involves leading the development and deployment of advanced AI systems, including generative AI, LLMs, and agentic architectures. You will work across multiple engineering teams to establish reusable AI frameworks, tooling, and engineering standards, while remaining hands-on with complex AI applications.
This role involves leading a team of AI developers to build enterprise-grade Generative and Agentic AI solutions for a major financial services client. Responsibilities include designing and developing Python and Java services, integrating LLMs, and working with AWS services like Bedrock and EKS. The position offers hands-on technical leadership and collaboration with experienced architects and engineers.
This role involves building production applications and APIs using Python and FastAPI, developing LLM, RAG, and AI agent solutions, and working with vector databases. You'll collaborate with engineers, architects, and client stakeholders to take GenAI POCs into production and scale them.
This role involves designing, building, and delivering cutting-edge GenAI and Agentic AI products. You will work within a product squad to develop multi-step workflows, optimize AI performance, and integrate various backend services, all while ensuring security and scalability on Azure.
This role involves designing and deploying generative AI and LLM-based solutions to automate workflows on Databricks and Azure. You will work closely with data engineers and customer teams to build AI agents and RAG pipelines, leveraging Databricks AI capabilities.
