patterns of large-scale software systems. Basic knowledge of SQL and data analysis is a plus. Experience using source control systems (e.g., Git). Experience in generative AI and LLM research preferred. Essential Skills:- Python programming Generative AI knowledge Understanding of MCP servers and LangChain frameworks About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing More ❯
patterns of large-scale software systems. Basic knowledge of SQL and data analysis is a plus. Experience using source control systems (e.g., Git). Experience in generative AI and LLM research preferred. Essential Skills:- Python programming Generative AI knowledge Understanding of MCP servers and LangChain frameworks About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing More ❯
on our moonshot mission. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information More ❯
internal teams. You'll manage a group of Engineering Leads and collaborate closely with cross-functional teams to define technical strategy, deliver production-grade systems, and drive innovation across LLM, data, and ML domains. Your teams will be responsible for delivering agent-assist tools like AnswerBots, customer-facing VoiceBots, predictive models for utility use cases (e.g., water leakage detection, churn … and client dashboards that turn data into actionable insights. What You'll Do Lead and scale our cross-functional ML and data engineering teams, including machine learning engineers, LLM/AI engineers, data analysts, and Software engineers. Drive the development of intelligent tools for customer agents (e.g., LLM-based AnswerBots) and end-users (e.g., VoiceBots) that improve service efficiency and … reinforcement learning, and agentic workflows and translate them into practical, scalable products. What You'll Need Proven leadership experience in managing multi-disciplinary engineering teams (20+ engineers), including ML, LLM, data engineering, and platform engineering. Understanding of ML lifecycle from data ingestion and feature engineering to model training, evaluation, and deployment in production. Hands-on experience deploying LLM-based systems More ❯
in office/London/Rate Paye Inside IR 35 42.79 -53 AN HOUR Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Responsibilities: Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior. Implement and debug AI agent tool calls in a python … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. More ❯
in office/London/Rate Paye Inside IR 35 42.79 -53 AN HOUR Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Responsibilities: Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior. Implement and debug AI agent tool calls in a python … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. More ❯
hours per week (Hybrid, 3 days onsite) Overview: Our client is looking for a Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Role Responsibilities: Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior. Implement and debug AI agent tool calls in a … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. Must have skills: Python-programming Generative AI Understanding of MCP servers/LangChain More ❯
hours per week (Hybrid, 3 days onsite) Overview: Our client is looking for a Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Role Responsibilities: Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior. Implement and debug AI agent tool calls in a … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. Must have skills: Python-programming Generative AI Understanding of MCP servers/LangChain Apply Now! The closing date for applications is 18/08 12pm More ❯
hours per week (Hybrid, 3 days onsite) Overview: Our client is looking for a Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Role Responsibilities: Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior. Implement and debug AI agent tool calls in a … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. Must have skills: Python-programming Generative AI Understanding of MCP servers/LangChain Apply Now! The closing date for applications is 18/08 12pm More ❯
to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for LargeLanguageModel limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by … with complementary expertise as a senior member. About the Role The key responsibilities include GPU optimisation of existing algorithms, hardware-specific optimisation related to memory and CPU utilisation, hybrid-LLM system optimisation, and possible pre-filtering algorithms to reduce computational loads. Success is measured by significant improvements in batch processing and inference costs. About You This is a hands-on More ❯
modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare. You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will … job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Bachelor's/Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in More ❯
Software Development Engineer-II, Amazon We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to More ❯
Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. More ❯
you will work on a variety of exciting projects, including consumer-focused features like the Energy Co-pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse Energy. Design, develop, and deploy AI-powered features that directly impact … a focus on automation and enhancing workflows. Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms. Continuously improve and optimise AI models (including LLM and VLM) to provide a better user experience. Develop scalable, maintainable AI infrastructure to support a growing set of consumer-facing and internal AI features. Collaborate with the trading and … AI or machine learning. Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.). Experience working with large-scale models (LLM/VLM) and deploying AI-driven solutions into production. Solid understanding of cloud technologies, containerization, and building scalable AI applications. Ability to integrate AI/ML models into real-world More ❯
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become More ❯
or game theory. MS or PhD in Computer Science, Machine Learning, Computational Social Science, or a related quantitative field, or equivalent practical experience. (Desirable) Hands-on experience with advanced LLM application techniques like RAG, chain-of-thought, and agentic tool use. Deep experience in applying largelanguage models (LLMs) to solve complex, open-ended problems. (Desirable) Experience designing and conducting … AI Agents: Develop prompting strategies, retrieval-augmented generation (RAG), and tool-use frameworks for consistent personas, memories, and reasoning. Develop Experimental Methods: Design experiments to test behavioral outputs of LLM-powered agents against real data and social science principles. Create Evaluation Frameworks: Build methods to measure the quality and realism of simulations, especially on ambiguous tasks. Build the Simulation Platform … Collaborate with product and commercial teams to address client challenges through research and technical solutions. Stay at the Forefront: Apply latest techniques in agentic AI, multi-agent systems, and LLM evaluation to enhance our platform's capabilities. More ❯
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking More ❯
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking More ❯
work on solving key industry problems through specialized and optimized models and services. You will lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovation on multi-modal (speech/audio/video) representations, understanding, transformation and generation for streaming and non-streaming applications, learning from human and AI feedback, inference … and outside of Amazon. Along this you create reliable, scalable and high-performing solutions, demonstrate exceptional technical expertise, and showcase a sound understanding of Machine Learning in general and LLM technology in particular. About the team The AGI-VS team's mission is to solve industry- or task- specific GenAI problems through specialized models and services. Powered by Amazon AGI More ❯
applying AI productivity tools (eg ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning. Skills in prompt engineering and chaining techniques to optimise LLM outputs for production use. Experience in developing AI-driven user interfaces using modern frameworks (eg, React, Angular) with Real Time interaction powered by LLM backends. Familiarity with AI coding copilots More ❯
our AI features to operate reliably and efficiently in production, whether extending existing systems or building new foundations. What you'll be doing Design and maintain pipelines that support LLM-based features - including metadata processing, semantic enrichment, and structured context retrieval. Design infrastructure for scalable and performant RAG systems (retrieval-augmented generation), including support for Graph RAG where adopted. Experience … working in a software engineering role. 3+ years of experience building and maintaining production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience with vector databases and embedding pipelines. Familiarity with or More ❯
Senior AI/ML Software Engineering Manager - Apple Music - Personalisation & Recommendations London, England, United Kingdom Software and Services Description You are a trustworthy and capable manager who can lead great software engineers & managers, develop them appropriately, and guide them to More ❯
translate business needs into technical requirements and solution architecture for complex AI systems. Strong experience building and consuming API services in Python, using FastAPI or similar. Strong experience with LLM frameworks such as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI … development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a clear understanding of when each should be applied. Proven experience with Cloud technologies on GCP or AWS (GCP preferred) including serverless architectures and microservices development. Deep understanding of evaluation strategies and observability … using Python front-end frameworks such as Streamlit or Gradio. Working knowledge of modern JavaScript/TypeScript front-end frameworks (we use NodeJS, NextJS & React). Practical experience building LLM-driven agents designed explicitly to automate multi-step workflows and enhance internal productivity. Benefits A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences More ❯
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting More ❯
Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is More ❯
