15 of 15 Retrieval-Augmented Generation Jobs in Cambridge

product) to identify high-impact opportunities for AI-driven automation and intelligent tooling Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform Mentor engineers across the team on AI-first development practices … with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents A builder's mentality — you don't just use AI tools, you create autonomous ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

Redis, and REST API design and integrationExperience with test-driven development and CI/CD workflowsExperience integrating AI technologies such as OpenAI, LangChain, or RAG pipelinesUnderstanding of authentication and authorization approaches including OpenID and SAMLExperience deploying cloud-native services on AWS with containerized infrastructure and KubernetesExperience with message queuing systems ...

test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab)Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelinesUnderstanding of authentication and authorization approaches including OpenID and SAMLExperience deploying cloud-native services on AWS with containerized infrastructure and KubernetesExperience with message queuing systems ...

including identity, secrets, access control, network segmentation, vulnerability management and audit logging.Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.Very strong automation and scripting skills, for example Terraform, Go, Python or similar.Experience with incident management, problem management, demand forecasting, and production ...

identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting ...

strategies, backend services, and conversational interfaces.Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution.Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic.Implement tool-calling, function … language.Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns.Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces.Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments.Experience with observability ...

backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling … experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces. Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments. Experience with ...

will be an on-site role.In this role, you will have the opportunity to:Design and deliver end-to-end LLM-powered applications, including RAG systems and agent workflows.Transform prototypes into reliable, scalable production services with deployment, monitoring, and failure handling.Integrate and operate external model APIs, managing constraints such … essential requirements of the job include:Strong software engineering capability, primarily in TypeScript and Python with backend and API development skills.Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows.Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices.Understanding of machine learning fundamentals, including model behavior ...

Software Engineer to play a leading role, bringing deep skills in cutting‐edge AI to help us invent and deliver the next generation of intelligent capabilities. Key Responsibilities Lead cutting‐edge research and development of state‐of‐the‐art AI models for Design and Manufacturing challenges within … paced, cross‐functional team Preferred Qualifications Experience with model fine‐tuning, RLHF, or building agentic tool‐use systems Familiarity with retrieval‐augmented generation, knowledge graphs, or structured enterprise data Experience deploying AI in Design, Manufacturing, PLM, or industrial domains History of patents, publications ...

rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly … write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit - model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non-engineers ...

human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape---foundation models, agentic AI, retrieval-augmented generation, fine-tuning---and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred ...

roadmap priorities and adoption patterns.2. Evaluation, prototyping and demonstration:Explore safe and secure patterns for the usage of core AI technologies - including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.Evaluate, prototype and implement technology solutions that provide the controls, guardrails and observability needed … with platforms such as BricksLLM, LiteLLM, custom API gateways or equivalent gateway/routing layers.Hands-on experience with applied AI technologies such as LLMs, RAG, embeddings, vector databases, model orchestration, agents, MCP servers, tool-calling or AI evaluation frameworks!In Return:This is a chance to help build ...

SLAsOwn vendor relationships and platform budgetRequired Skills and Experience:Hands-on knowledge of AI technologies (for example MCP servers, skills, model orchestration, retrieval-augmented generation, vector databases, agentic enablement).Experience building and leading platform, infrastructure or developer tooling teams.Experience delivering and operating mature ...