HFM | Full time
Senior AI Engineer
Larnaca, Cyprus | Posted on 04/09/2026
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Job Information
- Job Type Full time
- Industry Artificial Intelligence
- Date Opened 04/09/2026
- City Larnaca
- Province Larnaca
- Country Cyprus
- Postal Code NA
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 join our team.
Responsibilities
:
- Mentor a team of 3 AI Engineers, guiding technical architecture, code quality, sprint delivery, and skill development for internal AI initiatives.
- Design and deploy internal AI products and agentic workflows using a hybrid stack of custom microservices (FastAPI) and managed services (Amazon Bedrock AgentCore).
- Develop high-performance REST APIs and asynchronous microservices in FastAPI to orchestrate agent execution, connect internal tools, and handle real-time data flow.
- Architect scalable data layers and persistent state stores utilizing PostgreSQL and pgvector for agent memory, transactional records, and enterprise retrieval.
- Build and optimize multi-agent orchestration systems leveraging task decomposition, state management, tool integrations via Model Context Protocol (MCP), and structured reasoning.
- Partner cross-functionally with internal stakeholders and department heads to identify operational bottlenecks and translate business requirements into high-impact AI automations.
- Implement robust AI guardrails and evaluation suites (using Bedrock Guardrails, schema validation, and latency/accuracy telemetry) to guarantee safe and reliable internal agent execution.
- Establish LLMOps standard practices, including RAG pipeline tuning, prompt versioning, OpenTelemetry tracing, and latency monitoring across custom microservices and AWS infrastructure.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- 5+ years of backend software development experience, including 3+ years building and deploying LLM and agentic AI applications.
- Strong proficiency in Python, FastAPI, PostgreSQL (including pgvector), and AWS.
- Experience with Amazon Bedrock AgentCore, multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex, MCP), Docker, Kubernetes, and CI/CD.
- Familiarity with LLM observability and monitoring tools (e.g., OpenTelemetry, LangSmith, Phoenix, CloudWatch).
- Proven experience mentoring software/AI engineering teams.
- Strong communication skills and full professional proficiency in English.
- Product-oriented mindset with the ability to build scalable, user-focused internal tools and workflow automations.
- Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
Nice to have
:
- AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
- Experience using pgvector or relational data pipelines in production RAG systems.
- Experience building internal developer platforms, enterprise workflow automation, or administrative AI assistants.
- Familiarity with FinTech platforms, FX trading, or financial services operations.
- Knowledge of systems languages such as Go or C++.
Resumes must be submitted in English.
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)
- Monthly Wolt Vouchers
- Comprehensive Health & Life Insurance
- Provident Fund (Upon completion of the trial period)
- Summer Short Fridays (August)
- Additional Paid Annual Leave (up to 30 days, based on years of service)
- Birthday Leave
- Udemy Business access
- Gym Membership
- Referral Bonus Program
Additional Support
- Visa Sponsorship and Relocation Assistance
Sounds like you? Let’s write the next chapter together!
All Applications will be handled with the strictest confidentiality.