ai engineer in fintech

HFM is an internationally acclaimed multi-asset broker delivering trading tools, platforms, and conditions to traders worldwide, with a focus on innovation, transparency, and excellence in financial markets.

• 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 custom FastAPI microservices and Amazon Bedrock AgentCore;
• Develop high-performance REST APIs and asynchronous FastAPI microservices to orchestrate agent execution, connect internal tools, and handle real-time data flow;
• Architect scalable data layers and persistent state stores using PostgreSQL and pgvector for agent memory, transactional records, and enterprise retrieval;
• Build and optimize multi-agent orchestration systems using task decomposition, state management, MCP tool integrations, and structured reasoning;
• Partner with internal stakeholders and department heads to identify operational bottlenecks and translate business requirements into high-impact AI automations;
• Implement AI guardrails and evaluation suites using Bedrock Guardrails, schema validation, and latency/accuracy telemetry;
• Establish LLMOps 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 such as LangGraph, CrewAI, AutoGen, LlamaIndex, and MCP, Docker, Kubernetes, and CI/CD;
• Familiarity with LLM observability and monitoring tools such as OpenTelemetry, LangSmith, Phoenix, and CloudWatch;
• Proven experience mentoring software or AI engineering teams;
• 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, including the ability to explain technical concepts to non-technical audiences;
• Nice to have: AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect, production experience with pgvector or relational data pipelines in 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 Go or C++.

• Hybrid work model with 2 days working from home;
• Monthly Wolt vouchers;
• Comprehensive health and life insurance;
• Provident fund upon completion of the trial period;
• Summer short Fridays in August;
• Additional paid annual leave up to 30 days based on years of service;
• Birthday leave;
• Training and education allowance;
• Udemy Business access;
• Gym membership;
• Referral bonus program;
• Visa sponsorship and relocation assistance.