Forward-Deployed Engineer – Software Engineer, Agentic AI Systems Focus

Viaduct

Forward-Deployed Engineer with a focus on agentic AI systems at Viaduct. Collaborating with teams to deliver impactful solutions and drive technology advancements.

Posted 5/11/2026full-timeRemote • 🇸🇮 SloveniaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

Competitive base salary
Short-term incentive (annual bonus)
Long-term incentive (long-term upside)
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI agent developmentcontext engineeringtool developmentsubagentsRAGasync PythonLLM APIsagentic developmentobservabilitydebugging

Soft Skills

collaborationrelationship buildingcommunicationproblem-solvingadaptabilitytime managementcustomer focusanalytical thinkingteamworkinternational working aptitude