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Build and own mobile-first test automation for iOS/Android, web UI, and backend services (REST/gRPC/GraphQL) to ensure reliability of a voice assistant for doctors in healthcare.
Contract Senior Software Engineer (~15 hrs/week) creating reinforcement learning environments and tasks (bug fixing, refactoring, feature dev, performance optimization) to evaluate AI models using Model Context Protocol tools.
Build reinforcement learning environments for AI model evaluation in software engineering tasks (bug fixing, refactoring, optimization) using MCP tools. Design reproducible tasks and deterministic verification systems.
Build reinforcement learning environments for AI training that evaluate software engineering tasks like bug fixing and refactoring using MCP tools.
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
Design and deploy AI/ML solutions—including GenAI, RAG architectures, and agentic AI—for a European financial group, using Python, LLMs, vector databases, and cloud platforms.
Develops AI/ML algorithms for defense applications, integrating models into systems and collaborating with cross-functional teams to solve complex national security challenges.
On-site Systems Administrator I managing hardware, software, and network infrastructure for a social services non-profit, providing helpdesk support, maintaining Windows/Active Directory environments, LAN/Wi-Fi/VPN, and ensuring HIPAA compliance.
Forward Deployed Engineer embedding with government mission users to design, build, and ship full-stack TypeScript/Python applications (including AI/LLM integrations) into production in DoD environments; requires an active Secret clearance and willingness to travel 30%+ CONUS.
AI/Model Security Architect at SAS securing AI/ML and LLM-powered products across the SDLC using DevSecOps, focusing on containerized deployments, application security, and secure architecture reviews.
Designs, builds, and governs automated integrations between UNE’s enterprise systems (student, HR, finance, research) using APIs, ESB, and AI/ML pipelines to streamline data sharing and workflows.
The Principal Solutions Engineer leads the technical validation and go-to-market strategy for emerging 1Password technologies. This role bridges the gap between product development and field sales, creating repeatable technical motions and enablement for new cybersecurity and AI-focused product capabilities.
This role involves designing and building multi-agent AI systems and the supporting infrastructure for a med-tech company. The engineer will work with LLMs, the MCP protocol, and cloud infrastructure including EKS and Terraform while utilizing Java and React.
About the Role: The team: Our Engineering team develops and maintains modern, cloud-based applications and AI-powered solutions that support global business operations. Team members collaborate across Product,…
Design and develop GenAI-powered integrations and connectors (Microsoft Copilot, Google Gemini, Claude, OpenAI) for enterprise use cases, implementing MCP and agent-based communication patterns using Python.
Senior AI Engineer building conversational AI systems, chatbots, and LLM applications using Python, LangChain/LangGraph/LlamaIndex, and cloud platforms like AWS and Azure.
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
Builds and maintains scalable backend systems and APIs for AI-driven applications, focusing on FastAPI, microservices, real-time streaming (LiveKit), and AI/ML integrations while optimizing deployment pipelines.
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