The Role
Lead the Marketing Platform AI engineering team, owning technical direction, delivery, and engineer development. Build and deploy generative AI applications for marketing content, multilingual capabilities, retrieval, workflow execution, evaluation, and guardrails. Partner with marketing stakeholders to translate business needs into production AI models and agents. Establish engineering standards for observability, prompt versioning, quality validation, safe releases, and reliable live-product operations.
Summary Generated by Built In
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 :
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.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
- Hybrid
Work Model (2 days working from home)
- Comprehensive
Health Insurance (from day one!)
- 21
days of Annual Leave
- Birthday
Leave
- Referral
Bonus Program
Sounds like you?
Let’s write the next chapter together!
All Applications will be handled with the strictest
confidentiality.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field
- 5+ years of backend software development experience
- 2+ years building and deploying LLM or generative AI applications in production
- Experience leading or mentoring an engineering team with delivery and code accountability
- Strong proficiency in Python, FastAPI, and PostgreSQL
- Experience with cloud infrastructure, ideally AWS
- Hands-on experience with model adaptation or fine-tuning, systematic evaluation, deployment, and serving
- Experience with retrieval-augmented generation and vector search
- Strong analytical and stakeholder-facing skills
- Excellent communication skills and full professional proficiency in English
- Track record of shipping incremental features into a live product without regression
- Experience with content generation, marketing technology, or creative production platforms
- Experience with multi-agent orchestration frameworks or the Model Context Protocol
- Familiarity with multilingual NLP, machine translation, and language-quality evaluation
- Experience building workflow engines, multi-stage approval flows, or role-based access control
- Familiarity with FinTech platforms, FX trading, or financial services operations
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
HFM is an internationally acclaimed, regulated multi-asset broker serving retail and institutional clients worldwide. The company provides online trading services and platforms across forex, contracts for difference (CFDs), futures, commodities, stocks, and indices. Its offering emphasizes competitive trading conditions, innovative tools, partner support, and access to multiple global markets through its financial technology infrastructure, helping traders participate in global markets.
.png){kind=logo}
