AI engineer in fintech

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.

• 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.

• 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.
• Applicants must be eligible or have legal authorization to work in the country where the position is based.
• Будет плюсом: 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++

• Hybrid Work Model (2 days working from home)
• Wolt Meal Allowance
• Comprehensive Health 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