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Junior full-stack engineer building web applications with AI built in: React/Next.js frontends, Node.js/Python backends, and LLM features such as prompt templates, tool/function calling, and streaming (SSE/WebSocket) responses. Works under senior engineers on agentic systems and AI pipelines for enterprise clients.
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Brazil. We are a custom product engineering company that supports both multinational organizations and scaling…
Aspire Software is looking for a AI Developer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical…
We are seeking a Principal AI Solution Engineer to join an engineering organization building a sovereign, multi-tenant agentic AI platform, along with the applied products on top of it. Everything ships under strict…
Requisitos técnicos y experiencia Experiencia: 2 a 3 años en soporte de aplicaciones, desarrollo o ingeniería de datos, con al menos 1 año trabajando con APIs de IA o soluciones de ML. Indispensables • Python: lectura…
One of the first platform engineers at a pre-seed AI venture building a multi-provider LLM routing gateway. You'll build and run the API gateway/router, usage & billing, customer key management and European cloud/GPU infrastructure in Python/FastAPI with Postgres, Redis, Terraform and Kubernetes, working on-site in Berlin five days a week.
Mid-level engineer at CrowdHealth building and owning TypeScript and Python backend services, batch data pipelines, and LLM-powered features (retrieval, OCR document processing, evaluation) in production on AWS/GCP/Azure.
Mid-level DevOps engineer who owns the Azure infrastructure for an AI and data platform delivered to a key client: provisioning environments with Terraform/Bicep, building CI/CD in Azure DevOps or GitHub Actions, securing data stores with Key Vault and RBAC, and deploying containerized Python services. 100% remote within Latin America.
CodeRoad, a nearshore staff-augmentation/software services firm, is hiring a 100% remote Senior Data Engineer in Latin America to architect an agent-ready data foundation: building dbt semantic models, ETL/ELT pipelines, tuning low-latency SQL queries, and enforcing data governance (RBAC, RLS, PII masking) to support RAG and agentic AI workloads.
Designs, builds, and operates LLM-powered features (assistants, intelligent search, summarization, agents) for a healthcare compliance platform, taking them from prototype to production. Core stack: Python/FastAPI, OpenAI/Anthropic/Azure OpenAI APIs, RAG with vector databases, Docker/Kubernetes and GitHub Actions on Azure/AWS, alongside an existing PHP/Node platform.
The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta. This is…
Builds and scales the Inter AI agent platform (Seven), developing generative AI solutions with LLMs, orchestrating intelligent agents, and optimizing inference costs while ensuring system reliability and performance.
Senior AI Engineer at Novisto (Montreal) owns the RAG and agentic-AI layer behind its ESG data products: building retrieval/extraction pipelines, LLM orchestration, and LLMOps evaluation in Python, cloud infra (Azure/GCP), and Kubernetes. A hands-on production engineering role, not model research.
Senior engineer on Okta's Digital Workers team building autonomous AI agents for identity operations and security: agent harnesses (planning, tool use, memory, recovery), evaluation pipelines, and OpenAI/Anthropic API integrations on a Python/FastAPI, AWS Step Functions, PostgreSQL/pgvector stack, working directly with the CEO.
Staff engineer on Okta's Digital Workers team building autonomous AI agents for identity operations and security. Day to day you build and evaluate agent harnesses (planning, tool use, memory, recovery), integrate OpenAI/Anthropic model APIs, and turn production failures into regression tests using Python/FastAPI, AWS Step Functions, Bedrock, and PostgreSQL/pgvector.
Principal engineer at Okta building 'Digital Workers' — autonomous AI agents for identity operations and security. Day to day: build agent harnesses and evaluation systems in Python, integrate OpenAI/Anthropic model APIs, and measure agent quality, safety, and cost on an AWS-based stack.
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