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Senior Software Engineer
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About the Role
We are seeking an experienced Senior Full Stack Developer to join our team and contribute to the development of next-generation conversational assistants and intelligent automation.
Our AI and agent orchestration stack is live in production, serving real enterprise workflows and scaling to millions of interactions. You will architect and build serverless services, low-latency GraphQL & event APIs, and AI agent orchestration capabilities that connect to Bedrock, OpenAI, Anthropic, and internal action agents.
You will shape multi-environment reliability, performance, security, and operational excellence across a large ecosystem of shared services, packages, and deployable units. Frontend work is a supporting slice—not the center—ensuring rich conversational experiences surface the intelligence your services provide.
Hybrid work model
Key Responsibilities:
- Architect and evolve AI agents & orchestration pipelines.
- Build and operate production NestJS Lambda services with Handlers & REST interfaces.
- Integrate LLM providers (AWS Bedrock, OpenAI, Anthropic) through unified capability interfaces (completion, tools, embeddings, moderation).
- Implement conversation state handling and instrumentation for traceability.
- Maintain high automated test coverage and contract integrity (consumer/provider tests).
Requirements:
- 8+ years professional full stack development with clear depth in backend architecture & distributed systems.
- NestJS (primary), Node.js, Express.js, GraphQL, REST API design, MongoDB operations.
- Ai / LLM Integration: Hands-on with OpenAI/Anthropic and/or AWS Bedrock.
- Serverless & Cloud: Deployment of AWS Lambda, and event-driven patterns.
- Frontend (Supportive): Working knowledge of TypeScript, Web Components, and integrating framework-agnostic UI components.
- Architecture: Designing modular services and scalable API surface areas for a large multi-team codebase.
Benefits:
- Ownership: You treat services, pipelines, and quality gates as products you steward end-to-end.
- Deep Systems Thinking: Model latency, failure modes, and scaling characteristics before coding.
- Collaboration: Communicate clearly with AI/ML scientists, security, product, and UX partners.
- Curiosity: Track rapidly evolving LLM features and responsibly integrate them.
To Succeed In This Role:
- You will love working on complex projects, building AI workflows and delivering at scale with measurable reliability goals.
- Continuously learn in a fast-moving AI + serverless ecosystem.
- Contribute to social responsibility and inclusive culture initiatives.
