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Designs and builds a scalable, reliable data platform that powers Checkr's AI verification services, using PySpark, Python, SQL, Kafka, and AWS tools.
Builds and maintains Python and Node.js backend services and develops LLM-powered applications — RAG pipelines, MCP servers, and AI agents — integrating AI models via API or locally while evaluating accuracy, performance, and cost. On-site role at Hacettepe Teknokent, Ankara; stack includes MySQL, REST APIs, and Git.
Job Summary: This position is responsible for designing, delivering, and owning complex, production-grade enterprise applications and artificial intelligence systems that support core business operations. This role…
Build and run cloud services for Delinea’s AI-powered Identity Security Platform, integrating LLMs, RAG, agents, and evaluation pipelines in C#/.NET, Python, and Go on Azure and Kubernetes.
Fully remote senior engineer who designs, debugs, and optimizes prompts for voice and chat AI agents serving a U.S. telehealth client's GLP-1 weight-loss patients. Core stack is Retell AI, Vapi, LangChain/OpenAI Assistants API, and SSML, with work hours aligned to 9 AM–5 PM EST.
Builds AI-driven workflows (RAG, agent pipelines) for clients in climate/energy/logistics, bridging technical delivery with client collaboration. Focuses on shipping solutions fast while ensuring reliability, with occasional frontend work.
Builds and operates Orbis's production agentic AI workflows (triage, data retrieval, summarization, escalation routing) and owns the client-facing Mission Support Desk experience for its fielded products. Day to day: multi-agent systems on Claude/GPT-class models, RAG and tool calling, client portals, onboarding automation, and instrumented support workflows.
Builds and operates multi-agent AI workflows (triage, data retrieval, summarization, reporting, escalation) at a defense/intelligence-focused tech company, with 40% of the role dedicated to internal AI tooling, intake, and adoption for Orbis employees. Core stack: Claude/GPT-class LLMs, LangChain/AutoGen/CrewAI, RAG, prompt engineering, APIs, and light Python.
Builds and operates Orbis's production agentic AI workflows — triage, data retrieval, summarization, reporting, and escalation routing — which is 60% of the role, while the other 40% owns the cloud platform they run on across GCP, Cloudflare, and Azure, managed as code with responsibility for networking, security posture, and run cost.
Senior Data Engineer joining Ipsos France's AI Centre of Excellence to build back-end services and AI pipelines for a conversational AI assistant on Google Gemini Enterprise. Day-to-day: Python (FastAPI/Flask) APIs, agent orchestration (LangChain/LangGraph), RAG pipelines, and GCP deployment.
Senior data engineer joining Ipsos's Synthesio social-intelligence platform in Paris: building Go/Python (FastAPI/Flask) back-end services and REST APIs, data pipelines, and LLM agent orchestration (RAG, function calling) that power conversational agents, integrated with Gemini/Vertex AI and deployed on GCP/OVH with the SRE team.
Backend Python developer role building and evolving AI assistants (helpdesk, HR, back office) at Inetum in Lisbon. Day to day: develop scalable backend services and REST APIs, integrate AI capabilities with frameworks like LangChain/LangGraph, and work in Agile sprints using Docker, Kubernetes and PostgreSQL.
Data scientist on Apple's US Decision Intelligence team, building and scaling the automated insight pipeline for Apple's sales organization. Develops ML models for forecasting, anomaly detection, and recommendations, and embeds insights into AI agents, dashboards, and GenAI tools using Python, SQL, cloud data platforms, and LLM/RAG techniques.
Build and refine an AI Copilot for ArcGIS Pro using LLMs and embeddings in C#/.NET and Python, collaborating with cross-functional teams to enhance GIS software with generative AI capabilities.
Builds and fine-tunes AI Copilot features for ArcGIS Pro, a GIS software, using Python/C# and NLP/ML models to enhance spatial data analysis and user workflows.
Builds and operates the backend services (Node.js, TypeScript, Kafka, MongoDB) powering Industrious's member portal, credit system, and reservation-based room access, shipping full-stack (React, Next.js, occasional React Native) and designing production AI agents, MCP servers, and guardrails. Based in Montreal with in-office Hub Days every Wednesday.
A consulting role on Google Cloud's Professional Services team: designing and deploying machine learning and generative AI solutions for enterprise customers, driving Gemini Enterprise adoption, and traveling to customer sites to deliver architecture guidance and workshops. Core tech: Python, Google Cloud, Vertex AI, TensorFlow, Dataflow, and agent frameworks like LangChain.
Generative AI Engineer joining the new R&D Hub of one of Ukraine's largest fintech companies, building production-ready GenAI and Agentic AI systems for products and internal processes. Day-to-day: RAG pipelines, multi-agent architectures, LLM API integrations, guardrails and model evaluation with Python, LangChain/LangGraph, vector DBs and cloud platforms. Full remote, official employment in Ukra
Build and ship AI-powered clinical features for Abridge’s healthcare platform, working with LLM workflows, retrieval pipelines, and evaluation frameworks under mentorship.
Senior Full Stack Engineer – AI/ML About Nomad Nomad is building the financial operating system for fleets: fuel cards, real-time transaction processing, invoicing, and working-capital finance, increasingly automated…
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