The role is a hands-on, full-stack LLM engineering position responsible for building and shipping LLM-powered features in production. Requires strong Python and API experience (FastAPI/REST), experience with LLM model APIs (e.g., OpenAI, Anthropic), RAG systems, vector databases and embeddings, multi-agent systems, prompt writing, and production-grade security and observability. The vacancy specifies 8+ years developing APIs with Python and 2+ years working with LLMs.

Nearform is hiring a Knowledge Graph Engineer (UK-based, permanent). The role requires professional data engineering experience with strong AWS and Python skills, hands-on experience building and working with knowledge graphs, relational databases, enterprise data platforms, data pipelines (including performance optimisation and diagnostics), Docker/containerised workloads, and CI/CD. SPARQL and applied ML/generative AI are listed as nice-to-have. Salary starts from £75,000 plus bonus and benefits.

NVIDIA seeks a Solution Architect focused on telecommunications and AI to develop and demonstrate AI/accelerated computing solutions for network management, cloud/edge/NFV deployments, and customer proofs-of-concept. Requires an MS/PhD or equivalent, 5+ years in telecom or networking systems, expertise in AI/data analytics for telco, and experience with cloud-native deployments and orchestration. Poland base salary ranges provided.

Senior Software Engineer to design, implement, and operate IAM capabilities across the Ping platform, focusing on features to secure and govern AI agents. Responsibilities include API and service design, prototyping, development, testing, and production support using technologies such as Java, JavaScript, Google Cloud, Docker, and Kubernetes; collaboration with product, UX, and global engineering teams.

DataCamp is hiring a Principal AI Engineer to design and productionize the core AI tutoring system that delivers real-time, adaptive learning. Responsibilities include prompt architectures, agentic workflows, rigorous experimentation and custom evaluation metrics, integrating AI with platform systems, and ensuring safety, observability, and maintainability. Role can be performed remotely from the United Kingdom, Belgium, Portugal, or the UAE.

Serve as the primary technical expert between NVIDIA and customers, partnering with developers, researchers, IT and executives to integrate NVIDIA technology. Requires deep hands-on expertise in diffusion-based generative AI, experience with data selection and model training, strong Python/C++ skills, MS/PhD or equivalent, excellent English communication, and 6+ years of relevant work or research experience.

Build, prototype, and ship AI/LLM- and agent-powered features for analytics and data workflows in Grafana Cloud. Work involves context engineering, handling large datasets, integrating agentic components with internal tools (e.g., Slack, alerting), using cloud-native environments and observability tools, and collaborating across the team to deliver production-grade, user-facing software.

Grafana Labs seeks a Staff AI Engineer for a remote skunkworks team (2nd Horizon) to design, develop, test, and ship AI/LLM- and agent-powered analytics features that work with large datasets. The role emphasizes rapid experimentation, production-quality software delivery, cloud-native experience, observability, and collaboration with internal teams. Compensation range for Sweden is provided; candidates are being considered in DEU, IRL, SWE, ESP, and GBR.

Grafana Labs seeks a Staff AI Engineer to design, develop, test, and ship AI-powered features (LLM/GenAI and agent workflows) for analytics and observability. The role emphasizes rapid prototyping, production-grade software delivery, cloud-native environments (AWS/GCP/Azure), and integration with observability and internal tooling. This is a remote position considering candidates located in Germany, Ireland, Sweden, Spain, and the United Kingdom. Listed Spain base compensation: €94,000–€117,000.

Grafana Labs seeks a Staff AI Engineer for the 2nd Horizon skunkworks team to design, develop, test, and ship AI-driven analytics features that operate on large datasets. The role focuses on building production-grade, high-performance features using LLMs/GenAI and agentic components, rapid prototyping and iteration with real users, cloud-native deployment, and observability for troubleshooting. Candidates should have practical experience with LLMs/context engineering, delivering software to production, and familiarity with cloud environments (AWS/GCP/Azure).

Grafana Labs seeks a Staff AI Engineer for a skunkworks 2nd Horizon team to design, develop, test, and ship AI-powered, production-grade features (LLM/agent-driven) focused on analytics and large datasets. The role involves rapid prototyping, cloud-native development (AWS/GCP/Azure), observability, integrations (e.g., Slack/alerts), and collaborating with internal data teams. Position is remote with candidates considered in Germany, Ireland, Sweden, Spain, and the UK; Germany base compensation range provided.

Join NVIDIA's Relational Foundation Model team to design and experiment with novel Transformer and GNN architectures that generalize across relational databases and heterogeneous graphs. Responsibilities span architecture design, large-scale training, post-training optimization and inference acceleration for applications such as forecasting, entity matching, customer retention and fraud detection. Requires an MS or PhD in ML/CS (or equivalent), proficiency in Python and deep learning frameworks (e.g., PyTorch) and at least 8 years of research experience.

Join GitLab's AI Events team to design and operate the trigger and event platform (largely within a Rails monolith) that connects GitLab and third-party events to AI-powered Duo Flows. The role focuses on Ruby/Rails backend development, integrating large language models into user-facing tools, architecting for high availability and throughput, participating in Tier 2/3 on-call rotations, and collaborating across product and engineering teams.

Engineering Manager for GitLab's Duo Chat team. Lead frontend, backend, and AI engineers to deliver AI-powered chat experiences across the DevSecOps lifecycle, integrate generative/agentic models, improve observability, testing, and performance, and coach engineers in a distributed, asynchronous environment.

Build and optimize RL post-training infrastructure that scales from single-GPU experiments to production across thousands of nodes. Work includes tuning training-inference-rollout loops on GPUs/CPUs/LPUs, contributing to open-source RL frameworks (e.g., VeRL, Miles, TorchTitan), ensuring fault tolerance and elastic scaling, and collaborating with cross-functional teams on networking, libraries, and hardware integration.

Build and ship internal tools, automations and AI-driven platforms (web apps to distributed async job systems). Requires 5+ years building end-to-end web applications, experience with Go and HTMX (plus Python), hands-on knowledge of LLMs, RAG (e.g., pgvector), LangChain, model routing and prompt engineering, and experience shipping AI features to production. Role includes stakeholder discovery, designing reliable distributed architectures, mentoring, and full ownership from scoping to production.

Hiring a Forward Deployed Engineer to work embedded with client teams to map end-to-end creative workflows, design future-state processes, configure and implement creative AI platforms (LLMs, agents, prompt architectures), integrate with DAM/CMS/MarTech stacks, and deliver production-ready proofs of concept with governance and adoption support. Requires 5+ years in creative technology, content operations, production engineering, or applied AI.

Seeking a senior Forward Deployed Engineer to conduct organizational diagnostics, redesign operating models and workflows, and rapidly build AI-powered proofs of concept (LLM APIs, low-code/no-code) to demonstrate value. Requires 5+ years in management consulting or enterprise technology roles, experience with change management and process engineering, and the ability to operate autonomously in client engagements. Role is offered as 100% remote.

Work on GitLab's Agent Tools within AI Engineering to design, implement, and maintain backend features in the GitLab monolith using Ruby on Rails. Responsibilities include designing/rest APIs (GraphQL/REST), improving automated testing (RSpec), addressing performance and observability, participating in Tier 2 on-call, and collaborating with product, frontend, and AI teams. Required skills include Ruby on Rails, SQL/PostgreSQL, API design, and experience integrating AI-backed features; familiarity with Python and Vue is a plus.

Hopper is hiring a staff-level backend engineer to own end-to-end backend features for its HTS platform, primarily using Scala and GCP. The role emphasizes using AI/LLMs and orchestrating agents and feedback loops to accelerate development, collaborating with PMs and senior engineers in a low-process, remote (UK) environment. Experience with distributed systems, scalable architecture, and partner integrations is highlighted.