HFM
сегодня

AI engineer in marketing

ориентир по рынку
вакансия зп не указана
в среднем 292 674 ₽
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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets. As we continue to expand, we are seeking a driven and strategic Senior AI Engineer to lead our Marketing Platform team.

задачи

  • Lead and develop a dedicated team of AI engineers, owning technical direction, code quality, sprint delivery and the growth of each engineer.
  • Take accountability for smooth delivery of the platform, planning releases and integrating new capabilities into the live product without disrupting existing users.
  • Work directly with Marketing stakeholders to interrogate requests, challenge assumptions and translate business requirements into AI models and agents; the role is as analytical and consultative as it is technical.
  • Design and extend generative AI capabilities for marketing content production, with the human review and approval steps that govern every output.
  • Lead the development of multilingual AI capabilities, covering model selection, adaptation, quality evaluation and production serving.
  • Architect and evolve the platform’s data and state layer to support reliable workflow execution, asynchronous processing and semantic retrieval at scale.
  • Establish the evaluation and guardrail practice for generated content: evaluation sets, output validation and quality thresholds that gate a release rather than describe it afterwards.
  • Set the engineering standards the team works to, including prompt versioning, observability, runbooks and the review culture that keeps a fast-moving product safe to change.

требования

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
  • 5+ years of backend software development experience, including 2+ years building and deploying LLM or generative AI applications in production.
  • Proven experience leading or mentoring a team of engineers, with accountability for delivery commitments as well as for code.
  • Strong proficiency in Python, FastAPI and PostgreSQL, with solid experience of cloud infrastructure, ideally AWS.
  • Hands-on experience across the model lifecycle – adaptation or fine-tuning, systematic evaluation, deployment and serving.
  • Experience with retrieval-augmented generation and vector search (pgvector, OpenSearch, Qdrant or similar).
  • Strong analytical and stakeholder-facing skills: able to establish what non-technical business users actually need and turn it into a specification a team can build against.
  • Excellent communication skills and full professional proficiency in English, with the confidence to present trade-offs and delivery risk to senior stakeholders.
  • A track record of shipping incremental features into a live product without regression.
  • Applicants must be eligible or have legal authorization to work in the country where the position is based.
  • Будет плюсом: Experience with content generation, marketing technology or creative production platforms; Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or the Model Context Protocol (MCP); Familiarity with multilingual NLP or machine translation, and with evaluating language quality beyond automated metrics; Experience building workflow engines, multi-stage approval flows, or role-based access control; Familiarity with FinTech platforms, FX trading, or financial services operations

условия

  • Hybrid Work Model (2 days working from home)
  • Comprehensive Health plan starting from the first day of employment
  • Pension plan
  • 13th salary payment
  • Additional Paid Annual Leave (up to 30 days, based on years of service)
  • Up to 5 Carry over annual leave days from previous year to the next one
  • Birthday Leave
  • Udemy Business access
  • Monthly Wolt Vouchers
  • Monthly meals & treats at the office
  • Participation in company's Group Discount Scheme
  • Gym Membership
  • Referral Bonus Program
  • Summer Short Fridays (August)
  • Visa Sponsorship and Relocation Assistance (If applicable)

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