---
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---

> Index of every page on this site: [llms.txt](https://vuejobs.com/llms.txt)

# **Senior AI Software Engineer (.NET)**

Cargoo

Vue-plus

**Backend**

![Flag of Armenia](https://hatscripts.github.io/circle-flags/flags/am.svg) Yerevan, Armeniaon-sitefull-timesenior23 days ago

[**Apply Now **](https://job-boards.eu.greenhouse.io/cargoo/jobs/4991224101?ref=vuejobs.com)

---

**Problem Space**

Logistics operations today are still largely:

- manual
- reactive
- fragmented across tools
- running on incomplete or late data
- full of conflicting constraints
- under real-time decision pressure
- driven by evolving business rules
- a mix of legacy and new systems

Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game.

**We’re building a system that:**

- ingests real-time operational data, structured and unstructured
- supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t
- adapts to constantly changing constraints

**What You’ll Work On**

- **AI in production.** Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding.
- **The seams.** Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop.
- **Trust.** Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets.
- **Ownership.** Owning features end to end, from problem framing with product to running them in production.

**Design Principles**

- keep things simple before scalable
- prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must
- optimize for change, not perfection (models, prompts and providers will change)
- measure AI behaviour, don’t trust vibes
- avoid “framework-driven architecture”
- accept that some parts will be ugly, temporarily

**Tech Stack**

.NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools

**How We Build**

- AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day.
- You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it.

**What We Expect**

- Strong, senior-level .NET engineering
- Ability to navigate uncertainty and work in ambiguity
- Willingness to challenge decisions
- Focus on outcomes, not just code
- Understanding of trade-offs and complex systems, including when not to use AI
- Preferring ownership over comfort

**Strong Plus**

- Having shipped LLM/AI features to production and kept them running
- Experience with evals, prompt/version management or AI observability
- Python for prototyping and data work
- Logistics or other real-time operations domain experience

**What You Won’t Find Here**

- over-engineering everything upfront
- unnecessary microservices
- “clean architecture” for the sake of it
- process-heavy development
- AI demos that never reach production
- wrapping a chatbot around a problem and calling it solved

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```

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