19 of 19 Prompt Engineering Jobs in the City of London

frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will also guide the teams technically. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity … is respected and valued. Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases … Evaluate and select appropriate models, frameworks, and orchestration tools. Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions Strong articulation, stakeholder management and consulting skills Experience working on client proposals – RFI/RFP/Orals stages Experience in solution presentations to client stakeholders More ❯

frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will also guide the teams technically. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity … is respected and valued. Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases … Evaluate and select appropriate models, frameworks, and orchestration tools. Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions Strong articulation, stakeholder management and consulting skills Experience working on client proposals – RFI/RFP/Orals stages Experience in solution presentations to client stakeholders More ❯

and evaluate robust AI agent systems and workflows using large language models [LLMs] and modern frameworks [e.g., LangChain, LangGraph]. Own the full LLM application lifecycle: from prototyping and prompt engineering to deployment, monitoring, and maintenance in production. Architect and implement efficient Retrieval-Augmented Generation [RAG] systems utilizing vector databases. Collaborate with cross-functional teams to define requirements … measure and improve the performance, reliability, and safety of our AI agents. Optimize AI systems for scalability, latency, and cost-effectiveness. Required Qualifications Bachelor’s in Computer Science, Electrical Engineering, AI Engineering, or related field. At least 5 years of experience in machine learning or software engineeering with a focus on AI 1+ years of hands-on experience More ❯

and evaluate robust AI agent systems and workflows using large language models [LLMs] and modern frameworks [e.g., LangChain, LangGraph]. Own the full LLM application lifecycle: from prototyping and prompt engineering to deployment, monitoring, and maintenance in production. Architect and implement efficient Retrieval-Augmented Generation [RAG] systems utilizing vector databases. Collaborate with cross-functional teams to define requirements … measure and improve the performance, reliability, and safety of our AI agents. Optimize AI systems for scalability, latency, and cost-effectiveness. Required Qualifications Bachelor’s in Computer Science, Electrical Engineering, AI Engineering, or related field. At least 5 years of experience in machine learning or software engineeering with a focus on AI 1+ years of hands-on experience More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and … incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt More ❯

services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and … incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt More ❯

Azure AD, and integration services (e.g., Logic Apps, API Management). Strong knowledge of enterprise architecture, solution design, and system integration. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Desirable Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft 365 Certified: Enterprise Administrator Expert TOGAF or other architecture frameworks (optional but valuable) Technical Skills: Expertise … Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. Soft Skills: Strong communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences. Proactive More ❯

sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity More ❯

team to ensure informed decisions are made on the application design and testing approaches. . Contributing to technical decision making alongside colleagues, including Generative AI solutions around RAG and prompt engineering. . Contributing to the required documentation and Agile project maintenance responsibilities. . Helping to design and develop incoming features around sentiment analysis, data ingestion and synthetic audience creation. More ❯

and Azure OpenAI. Ensure interoperability across the broader Microsoft ecosystem, including Power BI, Power Automate, and Security Copilot. Define and enforce governance standards for Copilot usage, data access, and prompt management. Work closely with security and compliance teams to ensure adherence to organisational and regulatory requirements. Monitor and manage permissions, data boundaries, and responsible AI practices. Own the lifecycle … Stay current with Microsofts Copilot roadmap and emerging AI capabilities to inform future strategy. The successful Copilot Engineer/Specialist will have: Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Experience in Microsoft Copilot ecosystem, including Microsoft 365 Copilot, SharePoint Copilot, Teams Copilot, and Security Copilot. Experience with Microsoft Azure services, particularly Azure OpenAI, Azure … Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. More ❯

sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time. Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements Full stack developer AI-native developer that has used or experimented with the … latest AI tools, play with new MCPs, and deploy multi-agent systems Experience in startup environments and rapid product development Bachelor's or Master's degree in Computer Science, Engineering, or related field Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's Prompt-engineering or fine-tuning experience Familiarity with Stripe, Discord More ❯

sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time. Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements Full stack developer AI-native developer that has used or experimented with the … latest AI tools, play with new MCPs, and deploy multi-agent systems Experience in startup environments and rapid product development Bachelor's or Master's degree in Computer Science, Engineering, or related field Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's Prompt-engineering or fine-tuning experience Familiarity with Stripe, Discord More ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of More ❯

and measurable. What we’re looking for: 4+ years backend/API experience with TypeScript, Python, or Kotlin. Proven experience shipping LLM applications or AI agents. Strong knowledge of prompt engineering, RAG, embeddings, and vector databases. Passion for solving complex problems and building safe, reliable AI systems. What's on offer for you?: Salary of More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯

shape product decisions, tech choices, and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s talk. More ❯