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Senior AI Engineer at Papaya Global builds and ships production AI systems powering payroll and global workforce payments — agentic document intelligence, autonomous agents, compliance AI, and ML insights. Core stack: Python, LLMs, RAG, agents, Hugging Face, PyTorch, LangChain/LangGraph, AWS.
Build and deploy LLM-powered AI assistants that automate customer support for Sberbank, handling NLU tasks like SFT, RAG, and text ranking at scale for 50M+ monthly users.
Principal AI Engineer designs, builds, and deploys large language model systems (LLMs) using RAG, prompt engineering, and agent-based architectures for Fortune 500 clients, leading engineering teams and optimizing cloud-based GenAI applications.
Designs and deploys enterprise-grade generative AI systems for Fortune 500 clients, focusing on LLM applications, RAG, and multi-agent architectures using Python, LangChain/LangGraph, and cloud platforms.
Deploys generative AI applications for clients using Python, Langchain/LangGraph, and cloud platforms, acting as a technical advisor to solve real-world problems.
Designs, trains, and deploys large language models and multi-agent systems for Fortune 500 clients, using Python, LangChain/LangGraph, and cloud platforms like AWS, GCP, or Azure.
Contract Senior AI Engineer role on a Federal Government AI and digital transformation program: designing, building, and deploying enterprise-scale generative AI, AI agents, and ML solutions using the Microsoft Azure AI stack (AI Foundry, Azure OpenAI), with RAG, Python, and MLOps. Pays $900–$1050/day incl. super; requires Australian citizenship and AGSVA Baseline clearance.
Contract Senior AI Engineer designing and delivering enterprise generative AI solutions — AI agents, RAG applications and intelligent services — using Azure AI Foundry, Azure OpenAI and Microsoft AI services for a complex Australian Government environment. Hybrid work across ACT, NSW, VIC or QLD with Baseline clearance required.
Senior AI Engineer designing, building and running production-grade generative AI for a Federal Government client — creating AI agents, RAG solutions and intelligent workflows on Azure AI Foundry and Azure OpenAI, with responsibility for enterprise integration, security, governance and DevOps/MLOps.
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.
The Senior Software Developer will design and maintain secure, mission-focused applications for the Intelligence Community, utilizing Python, Java, Scala, and AI technologies. The role involves working in an Agile environment to build cloud-native, containerized solutions with a focus on DevSecOps and data integration.
What's the role? As a Lead AI/ML Engineer you will lead the design and development of production-grade machine learning models, pipelines, and services that power NDS HD Live Maps, ADAS and IVI maps including…
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…
Overview RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling engineering teams…
Principal Software Engineer builds and deploys scalable AI/ML systems, including agentic solutions and RAG pipelines, while collaborating directly with enterprise clients to integrate models into production workflows.
Senior AI Engineer who hunts down inefficient workflows across the business, redesigns them, and builds production-grade internal AI systems using LLMs, RAG, agentic workflows, APIs and automation, while owning AI governance (security, compliance, privacy) and shaping the AI roadmap with the CTO and executive team. Full-time, remote-first in Australia.
Build and deploy AI systems for enterprise clients, combining backend engineering with agentic AI and MLOps to create scalable ML solutions in production environments.
Contract AI/ML Engineer (6 months, £500/day inside IR35) via recruiter Venesky Brown for a public sector client in Glasgow, hybrid home/office. Day to day: design, build and deploy AI/ML solutions for an AI Accelerator programme using Python, LLMs/RAG, MLOps pipelines and Azure-based data platforms.
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.
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