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Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
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.
Senior ML Engineer working hands-on to define and develop technical solutions and architecture, collaborating with cross-functional leaders. Core stack: Python, PyTorch, scikit-learn, pandas, SQL, and LlamaIndex/crewAI for agents.
Senior Full Stack Engineer building AI-augmented mental health platform features end-to-end using React/TypeScript, Next.js, Node.js, and LLM/AI agent systems (RAG, tool orchestration, multi-step workflows).
Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for…
The Developer Evangelist will act as the public face of LlamaParse, creating technical content, performing live demos, and engaging with the developer community to drive adoption of the company's document parsing engine. The role requires strong communication skills, a social media presence, and the ability to build technical demos using Python or TypeScript.
Build and productionize LLM-powered features: design prompts, integrate foundation models, automate evaluation/benchmarking, and monitor quality, safety, and cost for GenAI solutions.
This role involves leading workforce strategy and technical capability development for AI, Machine Learning, and Data Engineering teams. The specialist will oversee project delivery, mentor engineers, and design upskilling programs focused on modern data stacks, GenAI, and MLOps.
The AI Data Engineer will design and manage enterprise-grade data pipelines and RAG infrastructure to transform unstructured business documents into AI-ready knowledge bases. The role focuses on building scalable ETL/ELT processes, optimizing vector database environments, and ensuring data governance for downstream LLM applications.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
DataQ Health is seeking a Full Stack Developer to build and maintain AI-driven web and Electron desktop applications. The role requires expertise in Node.js, React, Next.js, and TypeScript, along with experience in containerized deployments using Docker and Kubernetes.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
Builds AI-enhanced full-stack applications by designing frontends, APIs, and data services while integrating AI tools and capabilities into enterprise solutions.
The Head of Digital and Data Engineering will lead the end-to-end delivery of guest-facing digital products and the data platform, managing both internal teams and external engineering partners. The role focuses on leveraging AWS, Snowflake, and AI technologies to drive commercial growth and operational efficiency within the hospitality sector.
ChiStats is seeking a Data Scientist to design, develop, and deploy Generative AI applications and LLM-based solutions for the WealthTech and financial services sector. The role involves the full machine learning lifecycle, from integrating LLM APIs to performing advanced text analysis.
The AI Application Engineer builds production-ready, user-facing AI applications and copilots for enterprise clients using Python, LLMs, RAG, and cloud infrastructure. The role involves bridging the gap between AI model development and scalable backend deployment to solve real-world business challenges.
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.
Чем предстоит заниматься: Разработка и оптимизация RAG-систем на базе LLM (LLaMA, GPT-подобные модели) для обработки внутренних документов, отчётов и регламентов ключевых заказчиков; Реализация и тонкая настройка…
Ключевые задачи: Разработка AI‑агентов и ассистентов (чат‑боты, автоматизация процессов, аналитика) Декомпозиция бизнес‑требований в сценарии работы агентов (use cases, user flows) Проектирование логики агентов (tool…
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