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Build and deploy data pipelines and machine learning models on Google Cloud to drive retail forecasting, inventory optimization, and marketing attribution. You will work across the full ML lifecycle using Python, SQL, BigQuery, and Vertex AI to solve complex commercial problems for a major outdoor retailer.
Hands-on Product Lead at Optimizee Group (100% remote) who owns the roadmap for its financial comparison platforms (crypto, stocks, credit cards) and builds features directly: roughly 60% product strategy and 40% full stack development on a PHP/Laravel, MySQL, Redis stack, with a path toward Head of Product.
Senior Data Engineer building a multicloud (Azure/GCP) data ecosystem that powers production LLM/RAG and Generative AI systems. Day to day: Databricks/PySpark pipelines, Spark Structured Streaming, Unity Catalog with Medallion Architecture, Airflow orchestration, and ETL feeding embeddings into vector search — 100% remote within Poland (Warsaw office available).
Full-stack AI engineer building GenAI and Agentic AI solutions for 3IT's client Banco de Chile: designing RAG architectures, orchestrating agents with LangGraph, integrating Azure OpenAI services, and deploying APIs/microservices with DevOps and CI/CD practices. Hybrid role based in Santiago with in-person attendance at the client's offices.
Full-stack AI engineer at 3IT in Santiago (hybrid) who designs and builds GenAI and Agentic AI solutions using LangGraph and Azure OpenAI. Day to day involves REST API integration, DevOps and production deployment, plus input on architecture and scalability; LLM and RAG experience is valued.
Senior ML engineer builds and refines AI agents and RAG systems for internal document search at a large Russian company, focusing on prompt engineering, quality metrics, and production safeguards.
Internship role focused on building AI/ML data pipelines and integrating Large Language Models (LLMs) into analytics workflows. The intern will use Python, SQL, and REST APIs to develop data analysis tools, implement Model Context Protocol (MCP) frameworks, and apply machine learning techniques to time series and telemetry data.
Build foundational data infrastructure and scalable pipelines for AI applications, including LLMs and agentic architectures. You will work with Python, SQL, and modern data platforms like Databricks or Snowflake within a global consulting environment.
Staff Software Engineer on Okta's internal Technology, Data and Intelligence team, building Salesforce customizations, integrations, and AI-powered automation for internal business solutions. Day to day spans Apex, Lightning Web Components, Salesforce Flow, REST/SOAP integrations, AWS serverless, and Python with LLM frameworks like LangChain and Amazon Bedrock.
AI engineer at a banking/financial-services consulting firm building and maintaining Python-based AI agents (LangGraph/LangChain) for custody back-office use cases — agent workflows, tool calling, prompt engineering, evaluation frameworks, and Kubernetes-based observability. Hybrid role based in Lisbon or Porto.
Senior GenAI developer designs and implements corporate AI solutions like agents, RAG pipelines, and automations for a large mining-industry company using n8n, PostgreSQL, and Python.
Senior backend developer role focused on building Python APIs with FastAPI and LangGraph: integrating services through a central orchestrator, generating/exporting documents, and adding trust-and-safety features like content filtering, human-in-the-loop review, and prompt-injection defenses. Includes data-pipeline work for source-grounding/citation flows. Based in India.
Designs LLM-powered agents at Coru by mapping business SOPs into reliable, auditable agents with human approval gates and evals, and builds the underlying Node.js/TypeScript microservices integrating OpenAI/Gemini/Ollama, LangChain, vector DBs, and WhatsApp/web channels on AWS for financial-industry clients across Latin America.
Full-stack engineer building the agent layer behind OpenArt's AI creative products (starting with Director): extending the agent harness, MCP servers and CLI tooling, and shipping React/Next.js frontend experiences. Core stack involves LLM agents, tool use, planning, and evaluation/observability in production.
Contract lead role (likely extensions, possible contract-to-hire) building AI-enabled analytics and BI solutions: designing executive dashboards in Tableau, Python/Java data pipelines and APIs, and agentic AI/LLM features on AWS while partnering with stakeholders. Requires 11+ years BI/analytics experience; hybrid in Reston, VA at ~$90/hr.
Senior Fullstack Engineer building LangSmith, an AI observability and evaluation platform. Responsibilities include architecting and implementing features across a Go, Python, and TypeScript/React stack, managing data-intensive APIs, and collaborating with customers to define AI production standards.
Design and deploy production AI/ML architectures on Databricks, including GenAI, LLMs, and MLOps pipelines, while guiding customers and shaping product roadmaps.
Build and deploy AI-powered automation to streamline Clara’s operations, replacing manual workflows with LLM APIs, n8n, and Metabase dashboards.
About White Circle White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what…
Platform Engineer building the agentic framework layer at Lyric, an enterprise AI platform for supply chains. You design and ship the primitives, execution loops, orchestration patterns and infrastructure that many agents run on (powering AgentFlow and Copilot/Ask Q), and also build agents on top of it. Core stack is Python plus in-house infrastructure.
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