Agentic AI Engineer
AiMi Technologies AB
IndiaremotePosted 2 days ago
Skill Required
Agentic-AI-EngineeringArtificial-Intelligence-EngineerFullstack-DevelopmentBackend-EngineeringSoftware-EngineerAgentic-AI-EngineerAI-Agentic-EngineerSenior-Agentic-AI-EngineerAgentic-AI-Platform-EngineerAI-Agentic-Systems-EngineerAgentic-Development-EngineerAgentic-AI-DeveloperAI-Agent-EngineerAgentic-AI-SpecialistAI EngineerAIGenerative AIGitHub ActionsObservabilityEngineeringServerlessTypeScriptautomationLangChaindesigningsimilar)analyticsNode.jsDynamoDBbuildingMongoDBwrittenRESTTestNGdesignGitOpenAPIReactCI/CDCloudContract
Key highlights
- 3+ years experience required
- Node.js back-end experience required
- Experience with LLMs, agent frameworks, or AI automation tooling required
- Experience with AWS Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatch required
- Live production platform - shipping meaningful work on cutting edge agentic AI
- Early-stage startup with opportunity to grow into senior/lead engineering role
Role overview
At AiMi, we are revolutionising the management of critical trading and market data infrastructure through AI-driven automation. 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! 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. We are an early-stage, fast-moving startup offering direct involvement in architectural decisions and a collaborative, remote-first team culture with strong engineering discipline.
Responsibilities
- 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
- Build and maintain production observability and alerting across the agent pipeline, including monitors for agent latency, error rates, failed workflows, and unusual failure patterns, integrated with team paging/notification workflows
- Build resilient agent and streaming workflows, including appropriate timeouts, failure handling, retries, circuit breakers, fail-fast behaviour, and recovery patterns for long-running LLM, agent, and SSE-based calls
- Diagnosing dependency and version conflicts in Node.js/npm monorepos, including package resolution, transitive dependencies, lockfiles, and runtime
- 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 Node.js , with a working understanding of our React/TypeScript front-end codebase
- 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
Requirements
- 3+ years of hands-on development experience
- Solid back-end development experience in Node.js, 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
Nice 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
- 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
Additional details
- Company is revolutionising management of critical trading and market data infrastructure through AI-driven automation
- Replaces manual, static processes with dynamic, data-driven workflows for greater efficiency, agility, and control
- Operates at 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
- Technical strength, AI-curiosity, and desire to ship meaningful work on live production platform required
- Full stack role: intuitive front-end interfaces through to robust back-end services and agentic AI workflows
- Own features end-to-end, contribute directly to agent pipeline, and play active role in shaping how team builds software
- Environment: remote, fast-paced startup with ownership-driven culture