python developer for AI workflows

Capital.com operates in financial services and the digital assets sector. Its Internal Development Team builds internal tools, APIs, AI-driven automation workflows, and system integrations to improve operational efficiency across the company.

• Develop and maintain internal services, tools, APIs, automation scripts, and AI-enabled workflows;
• Design and implement AI agents, multi-step agent flows, and automation pipelines to support internal business processes;
• Build integrations with internal and third-party systems, including financial platforms, payment providers, reporting tools, Jira, Confluence, Okta, Slack, AWS, and other enterprise systems;
• Develop AI-powered features such as intelligent data processing, document analysis, classification, anomaly detection, workflow automation, and decision-support tools;
• Integrate LLMs and AI services into internal applications using APIs, orchestration frameworks, vector databases, and retrieval-augmented generation where appropriate;
• Create and maintain automation flows connecting AI agents, APIs, databases, notifications, approval workflows, and local and remote MCP servers;
• Investigate, troubleshoot, and resolve issues related to financial integrations, API failures, data inconsistencies, and automation errors;
• Write clean, efficient, secure, and well-documented code following software engineering best practices;
• Implement CI/CD pipelines and automated testing frameworks;
• Optimize system performance and ensure reliability and security;
• Contribute to architectural decisions, participate in code reviews, and contribute to engineering standards;
• Identify opportunities to improve manual processes through automation, AI, and better system integrations;
• Collaborate with Engineering, Security, Operations, Compliance, Finance, and other business teams to deliver secure, reliable, high-quality software supporting internal workflows, data integration, and emerging AI-driven initiatives.

• 3–5+ Years of professional experience as a Python Developer or AI Engineer;
• Strong proficiency in Python 3.x, including asynchronous programming and REST API development;
• Experience with FastAPI, FastMCP, Flask, or Django;
• Practical experience building or integrating AI-powered solutions in production or near-production environments;
• Experience with LLM APIs and AI platforms such as OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar;
• Experience designing AI agent workflows, tool-calling flows, prompt-driven automation, or multi-step AI orchestration;
• Understanding of AI engineering concepts including prompt design, retrieval-augmented generation, embeddings, vector databases, structured outputs, evaluation, and guardrails;
• Ability to integrate AI capabilities into existing services, internal tools, and automation workflows;
• Strong experience with API integrations, including authentication, OAuth2, webhooks, error handling, retries, rate limits, and secure data exchange;
• Solid understanding of SQL and relational databases such as PostgreSQL or MySQL;
• Experience troubleshooting API integrations, data synchronization issues, automation failures, and production defects;
• Basic proficiency in HTML, CSS, and JavaScript for lightweight frontend interfaces or internal admin dashboards;
• Experience with Docker and Kubernetes;
• Familiarity with GitLab CI/CD or similar CI/CD pipelines;
• Experience with financial data processing, reconciliation, reporting automation, or transaction monitoring;
• Understanding of risk, compliance, and operational controls in financial environments;
• Understanding of secure coding practices, secrets management, access control, and secure data handling;
• Strong analytical, debugging, and problem-solving skills;
• Excellent communication skills and ability to work with both technical and non-technical stakeholders;
• Nice to have: AWS services, Kubernetes deployments and management, integrations with enterprise tools such as Jira API, Okta API, and Slack API, infrastructure as code, DevOps practices, logging and monitoring stacks such as ELK, Prometheus, and Grafana, secure coding practices and compliance requirements in fintech or regulated environments, general understanding of the mathematics and algorithms behind AI and related technologies.

• Competitive salary; amount not specified;
• Annual performance bonus tied to performance;
• Annual leave;
• Employee referral program;
• Medical insurance and pension plans, plus location-specific benefits and perks;
• 30 Extra days to work remotely from anywhere in the world (some restrictions apply);
• Two additional paid volunteer days each year.