We are looking for an experienced Senior Software Engineer - Python / AI Engineer to join the Internal Development Team.
In this role, you will design, develop, and maintain internal tools, APIs, AI-driven automation workflows, and system integrations that improve operational efficiency across Capital.com. The role is strongly focused on building practical AI solutions, including AI agents, agent workflows, automated decision-support flows, and integrations with internal and external systems.
You will collaborate closely with Engineering, Security, Operations, Compliance, Finance, and other business teams to deliver secure, reliable high-quality software that supports internal workflows, data integration, and emerging AI-driven initiatives.
Key Responsibilities:
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, and approval workflows, local and remote MCP servers.
Investigate, troubleshoot, and resolve issues related to financial integrations, API failures, data inconsistencies, 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 and participate in code reviews.
Optimize performance, reliability, observability, and security of internal tools and integrations.
Support architectural decisions, participate in code reviews, and contribute to engineering standards.
Continuously identify opportunities to improve manual processes through automation, AI, and better system integrations.
Requirements:
3–5+ years of professional experience as a Python Developer, AI Engineer
Strong proficiency in Python 3.x, including asynchronous programming, REST API development
Experience with frameworks such as FastAPI, FastMCP, Flask, or Django.
Practical experience building or integrating AI-powered solutions in production or near-production environments.
Experience working 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 such as 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 to support 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.
Preferred:
Experience working with AWS services.
Experience with Kubernetes deployments and management.
Experience integrating with enterprise tools (Jira API, Okta API, Slack API).
Familiarity with infrastructure as code and DevOps practices.
Exposure to logging and monitoring stacks (ELK, Prometheus, Grafana).
Understanding of secure coding practices and compliance requirements in fintech or regulated environments.
General understanding of the math and algorithms behind AI and related technologies.
What you will get in return:
Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.