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25 дней назад
AI Prompt Engineer (Logistics)
500$
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Описание вакансии
#prompt #ai
AI Prompt Engineer
Employment type: Full-time / Project based
Format: On-Site
Location: Tashkent
Company: Logistics
Salary: 500$ +
About the Company
We are building a real-time AI monitoring platform for the trucking industry. Our platform analyzes driver-dispatcher communications from Telegram groups using 7 independent AI agents in parallel, continuously updating the status of each truck in real time.
The system processes thousands of messages daily in EN/UZ/RU without translation, responding in 2-3 seconds. Stack: Python, FastAPI, AsyncIO, PostgreSQL, Redis, Google Gemini.
Your Responsibilities
Optimizing existing prompts
You will analyze and optimize prompts across 7 agents, reducing the alert false positive rate from the current to 5%. Every change is tested on real messages and measured with metrics.
Requirements
Must Have
— At least 6 months of production-level prompt engineering experience (portfolio required)
— Understanding of GPT, Gemini, Claude differences: tokenization, context window, temperature
— Experience extracting strict JSON schema responses from LLMs (few-shot, output parsing)
— Metric-driven approach: prompt → test → measure → improve cycle
— English B2+ (prompts are written in English)
— Git: branch, commit, PR
Nice to Have
— Knowledge of the trucking industry
— Multilingual NLP experience: code-switching, dialects, CB radio jargon
— Python: writing eval scripts, editing prompt files
— Evaluation frameworks: promptfoo, DeepEval, LangSmith
— Proficiency in Uzbek, Russian, and English ....
Success Metrics (KPI)
— Alert false positive rate: reduce to 5%
— Real issue detection coverage: 95%+
— JSON validity rate: 99.5%+
— Accuracy across all languages: 90%+
— Agent latency: must not exceed 2–3 seconds
Tech Stack
— LLM: Google Gemini Flash (production)
— Backend: Python 3.11+, FastAPI, AsyncIO
— Database: PostgreSQL, Redis
— Deployment: Docker, Cloudflare Tunnel
— Monitoring: Custom admin dashboard, token/cost tracking
How to Apply
Please include the following with your application:
— Portfolio — prompts you have written or their results
— Before/after metrics — if you have optimization case studies
— Brief intro about yourself: your experience and any connection to trucking or logistics
Tg:
Note: We are looking for specialists who can demonstrate real metrics, not just a vibe check.
👉
AI Prompt Engineer
Employment type: Full-time / Project based
Format: On-Site
Location: Tashkent
Company: Logistics
Salary: 500$ +
About the Company
We are building a real-time AI monitoring platform for the trucking industry. Our platform analyzes driver-dispatcher communications from Telegram groups using 7 independent AI agents in parallel, continuously updating the status of each truck in real time.
The system processes thousands of messages daily in EN/UZ/RU without translation, responding in 2-3 seconds. Stack: Python, FastAPI, AsyncIO, PostgreSQL, Redis, Google Gemini.
Your Responsibilities
Optimizing existing prompts
You will analyze and optimize prompts across 7 agents, reducing the alert false positive rate from the current to 5%. Every change is tested on real messages and measured with metrics.
Requirements
Must Have
— At least 6 months of production-level prompt engineering experience (portfolio required)
— Understanding of GPT, Gemini, Claude differences: tokenization, context window, temperature
— Experience extracting strict JSON schema responses from LLMs (few-shot, output parsing)
— Metric-driven approach: prompt → test → measure → improve cycle
— English B2+ (prompts are written in English)
— Git: branch, commit, PR
Nice to Have
— Knowledge of the trucking industry
— Multilingual NLP experience: code-switching, dialects, CB radio jargon
— Python: writing eval scripts, editing prompt files
— Evaluation frameworks: promptfoo, DeepEval, LangSmith
— Proficiency in Uzbek, Russian, and English ....
Success Metrics (KPI)
— Alert false positive rate: reduce to 5%
— Real issue detection coverage: 95%+
— JSON validity rate: 99.5%+
— Accuracy across all languages: 90%+
— Agent latency: must not exceed 2–3 seconds
Tech Stack
— LLM: Google Gemini Flash (production)
— Backend: Python 3.11+, FastAPI, AsyncIO
— Database: PostgreSQL, Redis
— Deployment: Docker, Cloudflare Tunnel
— Monitoring: Custom admin dashboard, token/cost tracking
How to Apply
Please include the following with your application:
— Portfolio — prompts you have written or their results
— Before/after metrics — if you have optimization case studies
— Brief intro about yourself: your experience and any connection to trucking or logistics
Tg:
Note: We are looking for specialists who can demonstrate real metrics, not just a vibe check.
👉
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