Job Description

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.

Responsibilities :

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.

Requirements

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.

Nice to have:

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.

Resumes must be submitted in English.
Applicants must be eligible or have legal authorization to work in the country where the position is based.