Viaduct
AI
Forward-DeployedEngineer–SoftwareEngineerw/AgenticAISystemsFocus
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Forward-Deployed Engineer – Software Engineer w/ Agentic AI Systems Focus at Viaduct. Skills: Agentic AI systems, AI agent development, Langgraph, Pydantic AI, LLM APIs, Python. Operate as the agentic AI engineering expert on the Internal Efficiencies team. Contribute to defining agentic AI deliverables from inception to completion”
What You'll Achieve.
Deliver transformative business results from their data, fast; Deliver solutions across the equipment lifecycle; Deliver against user / customer deliverables; Ensuring timely delivery and high-quality outputs; Deliver code and create solutions against customer / user requirements; Deliver against deliverables with quality and speed
Industry & Context.
Translate user/customer needs into actionable analytics solutions
0-20% travel (with significant occasional international travel component)
What They're Looking For.
Must Have
Experience with AI agent development with frameworks like Langgraph or Pydantic AI, including context engineering (including prompts), tool development, subagents, and RAG, Experience working with LLM APIs like OpenAI ChatGPT, Anthropic Claude, or Google Gemini, Familiarity in connecting to MCP Servers, Track record of using and configuring agentic development and work environments such as Claude Code or Codex, Experience with connecting AI agents to Uis (ChatGPT, Codex, Claude Code, claude. ai, etc) and custom web applications, Track record of authoring, organizing and running evals, including LLM-as-judge, Understanding of observability with platforms such as Logfire or Langsmith, Experience writing and debugging async Python code, Business English fluency and aptitude for working in an international working environment across geographies and time zones, Bachelor’s degree (or equivalent) in a related field (e. g. , Computer Science)
Nice to Have
Experience with creating and using embeddings, Familiarity with UI development with React, Familiarity with vector databases and experience with data engineering, Track record of success in an environment with direct user/customer interaction or on projects with a user/customer-feedback component, Track record of success in a fast-changing environment where projects and tasks change rapidly, Advanced / graduate degree (or equivalent) in a related field (e. g. , Computer Science)
What You'll Do.
Operate as the agentic AI engineering expert on the Internal Efficiencies team
Contribute to defining agentic AI deliverables from inception to completion
Leverage agentic AI tools on a daily basis to deliver code and create solutions against customer / user requirements
Develop and maintain relationships with all Internal Efficiencies team members as well as engineering subject-matter experts across Viaduct
Work with customer success and solution / product team members to scope user/customer needs and translate them into actionable analytics solutions
Deliver against deliverables with quality and speed
contributing new features to solutions and products
automating manual processes
and owning other engineering tasks
Stay updated with the latest trends and related technologies and apply them to improve our software
Follow our policy and procedure documents related to security and privacy
Follow the guidelines in the Employee Handbook
Follow the OWASP Top 10 guidelines when implementing and reviewing code
Participate in new hire and annual training for security and privacy
Treat data security and privacy as one of your primary job responsibilities
Report Security Incidents you discover as bugs
Get approval from the Security Team before adding new 3rd party software to our codebase
Explicitly consider security implications when doing PR reviews
How You'll Work.
Team & Collaboration
Collaborating closely with other engineers, data scientists, solution / product experts, and customer success leaders; Develop and maintain relationships with all Internal Efficiencies team members as well as engineering subject-matter experts across Viaduct; Work with customer success and solution / product team members to scope user/customer needs
Communication Scope
Business English fluency
Full Job Description
About Us At Viaduct, we use patented AI to discover hidden patterns in complex time series data – so manufacturers and operators of connected equipment can deliver transformative business results from their data, fast. On our platform we deliver solutions across the equipment lifecycle, from manufacturing productivity, manufacturing quality, service operations and fleet management. Who You Are You are a thoughtful engineer. You are energized by working on projects with direct user impact. You thrive on context-switching and working on a variety of different projects. You operate end-to-end from ideation to implementation to productionization. You care about delivering real life impact at scale through AI and machine learning, and are excited by opportunities to leverage and build on the latest advances in AI to achieve this goal. What We Are Looking For We are looking for a well-rounded engineer with focus and experience in agentic AI systems, who ideally has the following skills and expertise. Key Responsibilities Operate as the agentic AI engineering expert on the Internal Efficiencies team, collaborating closely with other engineers, data scientists, solution / product experts, and customer success leaders to deliver against user / customer deliverables Contribute to defining agentic AI deliverables from inception to completion, ensuring timely delivery and high-quality outputs Leverage agentic AI tools on a daily basis to deliver code and create solutions against customer / user requirements Develop and maintain strong relationships with all Internal Efficiencies team members as well as engineering subject-matter experts across Viaduct Work with customer success and solution / product team members to scope user/customer needs and translate them into actionable analytics solutions Deliver against deliverables with quality and speed, contributing new features to solutions and products, refactoring code, improving tests, automating manual processes, and owning othe
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