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Full stack developer on a 12-month contract using AI-assisted coding tools to build and integrate LLM/GenAI capabilities (RAG, chatbots, agents) into enterprise web applications with modern JS/TS frontends and Node.js/Python/Go backends on cloud/container platforms.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
Senior Backend Engineer building a next-generation AI agent platform with async workflows, internal/external APIs, and LLM integrations using Node.js/NestJS/TypeScript on GCP for a retail pricing solutions provider.
Product Manager leads end-to-end AI agents and LLM solutions from discovery to deployment, defining specs, prompts, tools, and success metrics while collaborating with engineering, data, and business teams.
Builds and maintains core backend infrastructure for a B2B SaaS platform focused on AI-driven messaging automation, integrating external APIs and designing scalable systems.
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
The Python AI Engineer will design and build scalable AI-powered applications, microservices, and APIs using Python, LLMs, RAG, and Agentic AI frameworks. The role involves managing the full SDLC, including CI/CD, containerization, and event-driven architecture.
We are seeking a Senior Prompt Designer II to define the overarching prompt architecture strategy, roadmaps, and governance frameworks powering BOLD's consumer-facing career tools. This is a senior leadership…
We are seeking a Senior Applied AI Engineer to lead the development of an advanced automation framework powered by Large Language Models (LLMs). At BOLD, we aren’t just following the AI trend; we are building the…
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Designs and implements security controls for autonomous AI systems, RAG pipelines, and agentic workflows to prevent misuse, data leakage, and compliance violations in a regulated federal healthcare environment.
Senior AI engineer builds and optimizes agentic AI systems that analyze legacy software codebases for federal healthcare modernization, using LLMs, RAG, and autonomous agents to deliver explainable, traceable answers.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
Мы ищем ML Engineer / AI Engineer , который поможет нам автоматизировать процессы внутри компании и внедрять AI-решения в работу различных отделов. Главная задача — находить процессы, которые можно автоматизировать с…
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
The Senior AI Engineer will design and implement evaluation pipelines, observability frameworks, and quality metrics for AI-powered features within a board intelligence platform. The role involves hands-on development in Python or C#/.NET to ensure LLM-based systems are reliable, cost-effective, and performant in production.
Anor Bank приглашает Senior AI Engineer Мы ищем опытного Senior AI Engineer , который будет разрабатывать и внедрять современные AI-решения для автоматизации бизнес-процессов и создания интеллектуальных продуктов.…
The Forward Deployed Engineer works directly with enterprise clients to build, deploy, and scale custom technical solutions, including AI and LLM integrations. This role acts as a bridge between client needs and core product development, requiring strong software engineering skills and the ability to communicate with technical stakeholders.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
The QA Lead will define and execute quality strategies for a cloud analytics platform, focusing on both traditional software and AI-powered, agentic systems. The role involves leading automation efforts, establishing testing methodologies, and ensuring reliability across CI/CD pipelines using Python, TypeScript, and various AI frameworks.
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