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Fully remote AI Engineer role (hiring in Pakistan) at TeamFicient: design, build, and scale production-grade AI applications using LLMs, RAG, and Python, backed by cloud services (AWS/Azure/GCP) and Docker/Kubernetes. Full-time, $1,000–$1,500/month, 9-hour days scheduled between 7 AM and 7 PM CST.
Obsidian Security is hiring an AI Security Engineer in Taipei to research emerging AI and agentic threats and build the backend services, APIs, and data pipelines that secure enterprise SaaS platforms like Copilot, ChatGPT Enterprise, and Gemini. Core work spans threat modeling, detection engineering, and telemetry analysis using backend languages like Python or Go, SQL, and OAuth.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineering Lead - Data Quality Systems based in India. Lead the engineering of…
Encore AI builds the production-grade AI backbone for top-tier enterprises. We don't just wrap LLMs. Our platform autonomously handles mission-critical workflows, replacing operational friction with seamless,…
Lead Software Engineer driving platform evolution for Appian's low-code automation platform, designing distributed cloud-native systems on AWS and integrating AI features using Java, Docker, and Kubernetes.
About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe,…
Senior AI Engineer at Gloat (Tel Aviv) designing, building, and shipping production-grade LLM agents for its workforce orchestration platform. Day to day: multi-agent orchestration, RAG over a knowledge graph, tool/function calling (MCP), evaluation harnesses and guardrails, and deploying model-agnostic agents into Teams, Slack, and Copilot using Python and frameworks like LangGraph.
Overview Tactica Solutions, LLC is seeking a highly skilled and detail-oriented AI Integration Analyst to support a Systems Engineering & Technical Assistance (SETA) contract for the U.S. Army Space and Missile…
Prism Digital is hiring its first senior data engineer in London to design and own the data platform for its AI product — building pipelines, tooling and governance from day one. Core stack: Python, Postgres, Kafka and vector databases, with a focus on scalable, real-time data pipelines.
A Lead Data Engineer at technology consultancy Credera leads complex client data engineering delivery — building data platforms, pipelines (Spark/Python/SQL), and AI/ML foundations on AWS using DevOps and MLOps practices — while managing teams, mentoring engineers, and influencing senior stakeholders. Hybrid role based from UK offices with 3 days per week onsite.
Lead Data Engineer | Python, Vector Databases & AI Data Pipelines | Early Data Hire at an AI Platform Rebuilding an Entire Industry's Back Office Salary: £80,000 - £110,000 Location: Victoria, central London. 4 days a…
Data engineering role at PBT Group in Cape Town focused on a data migration and modernisation initiative, building ETL/ELT pipelines and using AI agents/LLMs to automate data discovery, schema mapping, transformation and validation. Core stack is Python, SQL, cloud data platforms (AWS/Azure/GCP), plus exposure to AI/agentic tooling like LangChain, LLM APIs and RAG.
Builds and maintains AI-ready data infrastructure, including governed context layers and agent-friendly schemas, using Python, Java, and cloud data warehouses.
Senior engineer building AI-ready data infrastructure that agents can trust, including schema standards and retrieval pipelines, using Python, Java, and cloud data warehouses.
Builds AI-driven marketing tools like conversational agents and analytics using Python, FastAPI, LangChain, and TypeScript to automate and optimize ad campaigns.
Remote (from Latin America) AI/RAG Engineer who designs and ships production-grade LLM features — RAG pipelines, agentic workflows, structured extraction — inside mission-critical procurement workflows, plus evaluation, observability, and guardrails. Core stack: Python or Node.js, cloud (AWS/GCP/Azure), and vector databases; $3,500–$4,500 USD/month via GoFasti's client placement.
Full Stack Developer building and running cloud applications for Generative AI on Azure, leaning backend (Python or .NET) with React/Next.js frontend work as needed. Day to day: LLM, RAG and agent-based solutions, CI/CD, Infrastructure as Code and observability. 100% remote within Spain, €45K-55K.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Builds and operates a central AI platform from the ground up, creating scalable services and tooling (model gateway, RAG-as-a-service, prompt management, observability, evaluation) that multiple product teams use to ship AI features reliably. Core stack: Python plus Go/Java, LLM APIs, LangChain/LlamaIndex, Kubernetes and Terraform on AWS or Azure.
A senior backend engineer designs and owns end-to-end backend architecture for ADPCX's AI-powered customer experience products (Voice AI, conversational AI, autonomous agents), building event-driven, distributed Python services that scale. Core stack includes Python, Kafka/RabbitMQ/Redis, LLM tooling, with optional voice (STT/TTS, SIP/WebRTC) and Kubernetes/Docker work.
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