یوالو | Yoello

کامپیوتر، فناوری اطلاعات و اینترنت ۱۱ تا ۵۰ نفر actionmodel.com/

فرصت‌های شغلی ۱

استخدام AI Engineer

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت
حداقل سابقه کار

سه تا شش سال
حقوق

توافقی

شرح موقعیت شغلی

We're hiring an AI Engineer to own the core agentic system of our product: the tool-use loop, the prompts, the model routing, multi-agent delegation, and the evaluations that prove it all works. You'll be the person who decides which model runs which job, why, and how we measure it.

This is hands-on engineering, not research. You'll ship to real users.

What you'll actually do

Own the agent loop. Improve how the agent plans, calls tools, recovers from errors, manages context, and decides when to stop. Today the loop is a competent but vanilla tool-call loop — there's a lot of room to make it smarter, faster, and cheaper.
Tune the prompts. System prompts, tool descriptions, memory-retrieval prompts, planning prompts, and delegation prompts all need iteration. You'll own the prompt library and the discipline that keeps it from rotting.
Design the model router. Cheap models for trivial turns, strong models for hard reasoning, vision models when needed, local models when privacy demands it. Each agent has a primary and a fallback. You'll design and ship a smarter routing layer.
Improve tool calling. Tool registry, tool descriptions, argument schemas, error feedback, result shaping — all affect agent reliability. You'll make tools more reliable and tool errors more recoverable.
Make multi-agent delegation work. One agent handing a task to another sounds simple — it isn't. Constraint passing, context scoping, result aggregation, deadlock avoidance, budget inheritance. You'll design the delegation protocol and prove it works on real tasks.
Build the evaluation harness. Without evals, we're guessing. You'll build a test suite of real agent tasks (with golden outputs, automated graders, regression tracking) so every prompt change, model swap, or runtime tweak gets measured before it ships.
Wrestle with memory. Retrieval quality is a major lever on agent performance. You'll improve how memory is written, summarized, indexed, and surfaced into prompts.
Handle the unglamorous parts. Token budgets, cost tracking, prompt caching, context compaction, latency, retries, streaming. The platform succeeds or fails on these.

What we're looking for

Required:

3+ years engineering experience, with at least 1+ year shipping LLM-powered products (not just prototypes — production systems with real users)
Deep familiarity with the Anthropic, OpenAI, or Google Gemini SDKs — you've written real tool-use loops, not just chat completions
Strong TypeScript / Node.js. You can read and modify a production codebase without hand-holding
Genuine prompt-engineering instinct. You've debugged "why is the model doing X" and can articulate what you'd try and why
Experience with agent frameworks or building one — you understand tool-calling loops, ReAct, planning, context management
Comfortable with eval design. You don't ship LLM changes without measuring them
Pragmatic about model selection. You know when to use the big model and when not to

Strong bonus:

Built or contributed to a multi-agent system (not just chained prompts)
Experience with MCP (Model Context Protocol) tooling
Familiarity with prompt caching, structured outputs, vision models, long-context handling
Worked with local/open-weight models (vLLM, Ollama, llama.cpp)
Track record reducing LLM cost and latency on a real product
Built RAG / memory systems with real-world retrieval quality discipline (not just cosine_similarity > 0.7)
Experience with browser automation agents, computer-use agents, or code-execution agents
Comfortable doing the "writer" parts of prompt engineering — you can write clear English instructions, not just engineer the scaffolding

Bonus we'd be excited about:

You've published evaluations, prompts, or model comparisons others have used
You've shipped agentic features that materially changed product metrics
You've trained or fine-tuned models, even if you don't claim to be an ML researcher

What We Offer:

Competitive salary.
Opportunity to work with cutting-edge AI technology.
A collaborative and inclusive work environment.

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معرفی شرکت

ActionModel is building the next generation of AI — one that can use the internet like a human. Our intelligent agents interact directly with websites to complete real tasks: clicking, typing, navigating, and executing workflows across any platform.

We’re pioneering a new layer of automation that works through the user interface, not just APIs — unlocking the full potential of AI-powered productivity. By learning from real human behavior, the ActionModel gets smarter with every interaction.