Selecty

Lead AI/ML Engineer

8.0/10
Selecty
From $400,000 USD140.0% above market
Office / on-site
lead
about 5 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-structured with clear responsibilities and requirements, but lacks some compensation details and company links.

AI quality score8.5 / 10

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Overview

Join Selecty as a Lead AI/ML Engineer, responsible for the entire AI part of the product, including architecture, quality of recommendations, and rapid iterations. Work in a dynamic environment with a focus on real-time results. Selecty is an accredited IT company focused on building innovative AI solutions for the travel industry.

Responsibilities

  • β€’You will be responsible for the entire AI part of the product:
  • β€’Architecture of AI systems: from selecting LLM models to building RAG pipelines and integrating computer vision β€” all key technical decisions are on your side.
  • β€’Quality of recommendations: we do not do proof-of-concept β€” each iteration must increase conversion. You are responsible for ensuring AI truly helps people find the perfect vacation.
  • β€’Rapid iterations: we roll out changes every week, collect metrics, analyze, and improve. An ideal environment for those who want to see the results of their work in real-time.
  • β€’Experiments: A/B testing of prompts, hybrid search (text + visual + reviews), multimodal models β€” you decide what to test and quickly validate hypotheses on real users.
  • β€’Scaling: starting with 2000 tours to the Maldives, by the end of the year processing 50,000+ tours across three destinations with thousands of requests per day.
  • β€’This is not a classic ML engineering role in a large company. It is an opportunity to build a product from scratch, experiment quickly, and influence the entire architecture.

Conditions

  • β€’Official employment in accordance with the Labor Code of the Russian Federation.
  • β€’Work schedule 5/2, office (shortened working day on Fridays until 15:30).
  • β€’Corporate training and employee development programs.
  • β€’Medical care: DMS and own medical unit.
  • β€’Special offers for employees from partner companies (restaurants, shops, recreation, events).
  • β€’Organization of recreation for employees (and their children), payment for kindergarten.
  • β€’Accredited IT company.
  • β€’Office at Kurskaya metro station.
  • β€’Corporate conditions for purchasing tours.
  • β€’Additional paid vacation - 3 days, sick leave payment.
  • β€’DMS for family members under corporate conditions.
  • β€’Corporate conditions for learning English and engaging in sports.

Requirements

  • β€’Experience with production LLM applications: you have built RAG systems or chatbots based on GPT/Claude and know all the pitfalls.
  • β€’Expert-level prompt engineering: you can extract maximum from models through the right structure of prompts, few-shot examples, chain-of-thought.
  • β€’Experience with embeddings and vector search: you understand how similarity search, hybrid search works, when reranking is needed.
  • β€’Python at a production level: you write clean, fast code that is easy to maintain.
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