Nethermind
blockchain
Agent/AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Agent / AI Engineer at Nethermind. Skills: AI agents, LLM APIs, production AI, Python. Build AI agents. Build AI workflows”
What You'll Achieve.
build first working AI workflow; connect AI workflows to data; connect AI workflows to system actions; create evaluation framework; produce compelling demos; AI workflows running in pilot environments; AI layer has guardrails; AI layer has evaluation; AI layer has monitoring; AI layer has measurable value; become key owner of AI systems
Industry & Context.
What They're Looking For.
Must Have
Experience building AI systems, Experience building LLM systems, Experience building agentic systems, Experience building conversational systems, Experience building recommendation systems, Experience building automation systems, programming ability in Python, programming ability in TypeScript, Experience with LLM APIs, Experience with tool calling, Experience with retrieval, Experience with structured outputs, Experience with evaluations, Experience with production AI workflows, Understanding of prompt engineering, Understanding of RAG, Understanding of agent orchestration, Understanding of AI evaluation, Understanding of common AI failure modes, Ability to build reliable systems, Ability to build useful systems, Ability to build maintainable systems, English fluency, Experience with AI agents for commerce, Experience with AI agents for customer support, Experience with AI agents for retail, Experience with AI agents for payments, Experience with AI agents for kiosks, Experience with AI agents for robotics, Experience with AI agents for voice interfaces, Experience with AI agents for physical-world systems, Experience with personalization, Experience with recommendations, Experience with conversational UX, Experience with permissioning, Experience with user authentication, Experience with transaction approval, Experience with safety-critical workflows, Experience with multilingual AI systems, Experience with speech AI, Experience with audio AI, Experience with multimodal AI, Experience with on-device AI
What You'll Do.
Design tool-use patterns
Build structured outputs
Build fallback behavior
Measure AI performance
How You'll Work.
Team & Collaboration
Work with product; Work with design; Work with backend engineers; Work with edge engineers
Communication Scope
English fluency
Full Job Description
About Nethermind Nethermind is a blockchain research and software engineering company building high-performance infrastructure, security tooling, and cryptographic systems across the Ethereum ecosystem and beyond. We work closely with protocol teams, L2s, and ZK projects to help design, review, and secure cutting-edge decentralized systems. We are looking for an Agent / AI Engineer to build AI workflows that interact with real-world systems, data, users, and operational tools. This is a production AI role, not a generic chatbot role. The systems must be useful, reliable, measurable, safe, and connected to real products and real environments. Responsibilities: - Build AI agents and workflows for customer-facing and operator-facing use cases. - Design tool-use patterns that allow AI systems to interact safely with backend systems and device data. - Build retrieval, structured outputs, evaluations, prompts, guardrails, monitoring, and fallback behavior. - Work with product and design to create trustworthy AI user experiences. - Work with backend and edge engineers to connect AI workflows to real system data. - Measure AI performance in terms of task completion, accuracy, safety, user experience, and commercial value. - Support demos, pilots, and iteration based on customer feedback. Requirements: - Experience building AI, LLM, agentic, conversational, recommendation, or automation systems. - Strong programming ability in Python, TypeScript, or similar. - Experience with LLM APIs, tool calling, retrieval, structured outputs, evaluations, and production AI workflows. - Understanding of prompt engineering, RAG, agent orchestration, AI evaluation, and common AI failure modes. - Ability to build systems that are reliable, useful, and maintainable. - English fluency required. Must Haves: - Experience with AI agents for commerce, customer support, retail, payments, kiosks, robotics, voice interfaces, or physical-world systems. - Experience with personalization, recommenda
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