Full Stack AI Engineer at AiMi Technologies AB

India

$0.35k - $0.8k

<p><strong>Join AiMi and build the future of Capital Markets Infrastructure</strong></p> <p>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.</p> <p>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 you're technically strong, AI-curious, and want to ship meaningful work on a live production platform, we want you on the team!</p> <h2 id="tasks">Tasks</h2> <p><strong>What you’ll do:</strong></p> <p>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.</p> <p><strong>Key responsibilities include:</strong></p> <ul> <li>Build and ship new features and functionality that directly serve our clients: across back-end services, agentic workflows, and integrations that power the platform.</li> <li>Contribute to the development and continuous improvement of our agentic AI pipeline, translating complex capital markets workflows into reliable, production-grade agent behaviour</li> <li>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</li> <li>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</li> <li>Participate in agentic SDLC practices: spec-driven development as part of day-to-day engineering workflow</li> <li>Build and maintain robust back-end services container and serverless based services and APIs in Node.js , with a working understanding of our React/TypeScript front-end codebase</li> <li>Improve LLM observability and traceability across the agent pipeline to monitor, evaluate, and iterate on agent performance</li> <li>Work across the full stack: React/TypeScript front-end, Node.js back-end services, and AWS Lambda - to deliver well-tested, maintainable code and scalable services.</li> </ul> <h2 id="requirements">Requirements</h2> <p><strong>What we’re looking for</strong></p> <ul> <li>4 to 7 years of hands-on full stack development experience</li> <li>Solid back-end development experience in Node.js, with experience building and consuming RESTful APIs</li> <li>Practical experience working with LLMs, agent frameworks, or AI automation tooling: Mastra, LangChain, LlamaIndex, Claude, OpenAI or similar</li> <li>Familiarity with agentic SDLC practices and spec-driven development workflows (Claude Code, Cursor, CodeRabbit, or similar)</li> <li>Working knowledge of AWS cloud services - Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatch</li> <li>Experience with MongoDB and DynamoDB (or equivalent NoSQL databases)</li> <li>Solid understanding of event-driven architecture patterns</li> <li>Comfortable with testing at multiple levels - unit, integration, and E2E - and a genuine commitment to developer led testing approaches</li> <li>Familiarity with CI/CD workflows, GitHub Actions, and version control best practices</li> <li>A pragmatic, ownership-driven mindset with the ability to work independently in a remote, fast-paced environment</li> <li>Clear written communication skills - important for async collaboration and for working within our spec-driven development process</li> </ul> <p><strong>Good to have</strong></p> <ul> <li>Domain knowledge in capital markets, trading infrastructure, market data, or financial services</li> <li>Experience with LLM observability tooling such as Langfuse, Helicone, or similar</li> <li>Familiarity with streaming architectures and server-sent events (SSE)</li> <li>Exposure to PostHog or other feature flag and analytics tooling</li> </ul> <h2 id="benefits">Benefits</h2> <p><strong>What you’ll gain</strong></p> <ul> <li>Hands-on experience building and shipping production-grade agentic AI in a live finanical markets platform.</li> <li>Deep exposure to modern AI engineering, LLM evaluation, agent observability, prompt engineering, and agentic SDLC practices as part of daily work.</li> <li>Direct involvement in architectural decisions at an early-stage, fast-moving startup. Your work will have real, visible impact.</li> <li>Practical insight into capital markets infrastructure and trading operations.</li> <li>Opportunity to grow into a senior or lead engineering role as AiMi grows.</li> <li>Collaborative, remote-first team culture with a strong engineering discipline.</li> </ul> <p><strong>Let’s Go!</strong></p> <p>If you’re excited to be part of a forward-thinking company at the intersection of finance and technology, we’d love to hear from you. Apply now and help shape the future of AiMi!</p>