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Build and optimize AI agents using GPT models and prompt engineering for Brazil-Canada operations, integrating APIs and monitoring performance in a fast-paced, remote role.
Designs and builds production-grade Generative AI and Agentic AI solutions for enterprise clients, focusing on scalable, secure, and observable AI systems with Python, LLMs, RAG, and agent frameworks like LangChain.
Lead the design and development of Skydio’s GTM platform, building AI-powered sales, forecasting, and automation tools using Python, SQL, TypeScript, and cloud-native architectures.
Design and build production-ready AI systems, including agentic workflows and retrieval pipelines, while coding half the time and partnering with clients to ensure secure, scalable, and compliant deployments.
Builds AI-powered automation and enterprise solutions using LLMs, RAG, and agentic frameworks to solve B2B marketing workflows for Fortune 500 clients.
Build and maintain secure Java/Spring Boot backend services and APIs, and integrate agentic AI workflows (LLM agents, RAG, tool-use) for UK government digital services.
About Corridor Software development is becoming autonomous. The fastest teams already work this way, and at Corridor, we are leading the way on secure development as the rest of the industry follows. Security tools…
Builds and maintains backend systems and APIs in Go for AI observability, integrating telemetry from diverse ecosystems into a consistent OpenTelemetry-based model, while contributing to full-stack features with React/TypeScript.
Meet the YozmaTech YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated…
About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads…
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our…
LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
We are looking for an AI Integration Engineer (Python) to join our client's team on a UK insurtech project. Responsibilities: Configure and deploy product journeys on the platform for each carrier or MGA partner…
AI / Prompt Engineer (Python, LLM) Про компанію Ми створюємо AI-продукти та внутрішні інструменти на базі сучасних LLM (OpenAI, Claude, Gemini та ін.). Шукаємо технічного спеціаліста, який зможе проєктувати, розробляти…
Build and ship AI-native features for a product-analytics platform, including RAG pipelines, agentic workflows, and LLM-powered tools, from prototype to production while owning reliability and cost at scale.
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Senior Backend Engineer building a new Data Platform and AI-driven document ingestion agents at Jus Mundi, a legal tech company. Day to day involves designing agentic orchestration, a transactional Postgres-backed catalog/API, and document processing pipelines using Python, LLMs, and Kubernetes.
Senior Backend Engineer building an AI agent-driven data platform for legal document ingestion, processing, and cataloging at Jus Mundi. Core tech: Python, Postgres, LLM/agent orchestration, Kubernetes.
Softhouse is seeking an AI/ML developer in Luleå to guide clients from strategy to production-ready AI solutions. The role involves hands-on development using frameworks like PyTorch and LangChain, while acting as a consultant to translate business needs into technical implementations.
The Gen AI Engineer/Architect will design and lead the implementation of end-to-end AI and machine learning solutions, focusing on LLMs and RAG frameworks. The role involves defining architectural roadmaps and managing the full lifecycle of AI models from data ingestion to monitoring.
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