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Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Staff Backend Engineer architecting high-scale search, ranking, and recommendation systems using Kotlin/Java, Elasticsearch, and LLMs for a wholesale e-commerce marketplace platform.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
About the Role As a Solutions Engineer, you'll embed with customers to design, build, and ship production software fast — full-stack apps, cloud infrastructure, and applied AI solutions built around Python or…
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
Builds and deploys Gen AI applications from POC to production, handling both frontend (ReactJS) and backend (Python/FastAPI) development, cloud AI integrations, and dynamic workflows.
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Build and improve a data warehouse system, troubleshoot issues, and collaborate with business teams to translate requirements into technical solutions using Scala/Java/Rust/Python and DevOps tools.
Builds and maintains low-latency ML inference platforms (personalized recommendations, search, content understanding) using distributed systems, Scala, and cloud infrastructure.
About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These…
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Builds AI-driven automation workflows using GenAI/Agentic tech to streamline fintech processes like onboarding, transactions, and reporting; integrates LLMs and RAG for context-aware decision support.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
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