Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - review capabilities for customer workflows.
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Principal AI Engineer – Distributed Systems, Intelligent Platforms
Posted last month
About the role
- Principal AI Engineer developing scalable backend services using Python and Node.js. Join an innovation studio transforming complex business challenges into agile software solutions for the AI domain.
Responsibilities
- Build and own backend services in Python and Node.js, architect serverless compute layers, and develop the APIs that tie frontend experiences to the underlying data and logic.
- Contribute to sophisticated workflow engines; state machines, asynchronous event pipelines, and reliable retry/failure patterns across distributed services.
- Design and evolve RESTful interfaces, integrate third-party and internal systems, and leverage advanced NoSQL data modeling techniques (composite key strategies, transactional operations) to keep things fast and correct under load.
- Monitor, debug, and continuously improve system observability and deployment reliability on cloud-native infrastructure.
- Collaborate across time zones, contribute meaningfully in code reviews, take end-to-end ownership of features, and help shape how the team works, not just what it ships.
Requirements
- At least 6 years of experience building production software professionally
- Deep hands-on experience with Python and Node.js
- AWS production experience: Lambda, DynamoDB, S3, SQS, EventBridge, Step Functions
- Advanced NoSQL data modeling; composite key design, transactional writes, scalable single-table patterns
- LLM engineering experience: tool/function calling, prompt construction, multi-agent coordination, vector search, embedding pipelines, retrieval-augmented generation (RAG)
- Full-stack development capability with frontend integration experience
- Strong unit testing discipline and maintainable test strategies
- Container-based deployment experience (Docker)
- Solid RESTful API design fundamentals
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