Forward-Deployed Engineer – Software Engineer w/ Agentic AI Systems Focus

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 other engineering tasks

• Stay updated with the latest trends and related technologies and apply them to improve our software

Security and Privacy Responsibilities

• 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

Minimum Qualifications

• 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

• Proficiency 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)

Preferred Qualifications

• Experience with building MCP Servers

• 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 strong 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)

Position Details

• Compensation: Competitive base salary, short-term incentive (annual bonus) and long-term incentive (long-term upside)

• Travel: 0-20% (with significant occasional international travel component)

• Employment Type: Full Time

• Work site:  Flexible (Ljubljana office and/or work from home)

• Team: Internal Efficiencies