Full Stack AI Engineer

Join AiMi and build the future of Capital Markets Infrastructure

At AiMi we are revolutionising the management of critical trading and market data infrastructure through AI-driven automation. By leveraging advanced technologies we replace manual static processes with dynamic data-driven workflows that enable organisations to achieve greater efficiency agility and control.

We operate at the cutting edge of agentic AI - deploying autonomous agents that ingest venue and vendor notifications assess impact across client infrastructure and drive change management workflows in real time. If youre technically strong AI-curious and want to ship meaningful work on a live production platform we want you on the team!

Tasks

What youll do:

As an AI Software Engineer you will work across the full stack of the AiMi platform. Building and shipping features from intuitive front-end interfaces through to robust back-end services and the agentic AI workflows that sit at the heart of our product. You will own features end-to-end contribute directly to our agent pipeline and play an active role in shaping how we build software as a team.

Key responsibilities include:

• Build and ship new features and functionality that directly serve our clients: across back-end services agentic workflows and integrations that power the platform.
• Contribute to the development and continuous improvement of our agentic AI pipeline translating complex capital markets workflows into reliable production-grade agent behaviour
• Design build and maintain skills connectors and MCP-based integrations that extend the capabilities of AiMi agents connecting to client systems internal tooling and third-party platforms
• Contribute to agent evaluation - designing and running evals that assess agent accuracy reliability and behaviour across real-world workflows and using those insights to drive continuous improvement
• Participate in agentic SDLC practices: spec-driven development as part of day-to-day engineering workflow
• Build and maintain robust back-end services container and serverless based services and APIs in with a working understanding of our React/TypeScript front-end codebase
• Improve LLM observability and traceability across the agent pipeline to monitor evaluate and iterate on agent performance
• Work across the full stack: React/TypeScript front-end back-end services and AWS Lambda - to deliver well-tested maintainable code and scalable services.

Requirements

What were looking for

• 4 to 7 years of hands-on full stack development experience
• Solid back-end development experience in with experience building and consuming RESTful APIs
• Practical experience working with LLMs agent frameworks or AI automation tooling: Mastra LangChain LlamaIndex Claude OpenAI or similar
• Familiarity with agentic SDLC practices and spec-driven development workflows (Claude Code Cursor CodeRabbit or similar)
• Working knowledge of AWS cloud services - Lambda Bedrock DynamoDB S3 Cognito API Gateway CloudWatch
• Experience with MongoDB and DynamoDB (or equivalent NoSQL databases)
• Solid understanding of event-driven architecture patterns
• Comfortable with testing at multiple levels - unit integration and E2E - and a genuine commitment to developer led testing approaches
• Familiarity with CI/CD workflows GitHub Actions and version control best practices
• A pragmatic ownership-driven mindset with the ability to work independently in a remote fast-paced environment
• Clear written communication skills - important for async collaboration and for working within our spec-driven development process

Good to have

• Domain knowledge in capital markets trading infrastructure market data or financial services
• Experience with LLM observability tooling such as Langfuse Helicone or similar
• Familiarity with streaming architectures and server-sent events (SSE)
• Exposure to PostHog or other feature flag and analytics tooling

Benefits

What youll gain

• Hands-on experience building and shipping production-grade agentic AI in a live finanical markets platform.
• Deep exposure to modern AI engineering LLM evaluation agent observability prompt engineering and agentic SDLC practices as part of daily work.
• Direct involvement in architectural decisions at an early-stage fast-moving startup. Your work will have real visible impact.
• Practical insight into capital markets infrastructure and trading operations.
• Opportunity to grow into a senior or lead engineering role as AiMi grows.
• Collaborative remote-first team culture with a strong engineering discipline.

Lets Go!

If youre excited to be part of a forward-thinking company at the intersection of finance and technology wed love to hear from you. Apply now and help shape the future of AiMi!