AI Developer building agentic systems, RAG pipelines, and production AI solutions for Mirego clients. Bridging backend software development with modern AI models and frameworks.
CG
Principal AI Engineer – Distributed Systems, Intelligent Platforms
Posted 3 months ago
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
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior AI Software Engineer building agentic AI harnesses for Kinaxis’s Databricks - based enterprise data fabric. Enabling secure, governed workflows across GCP and Azure.
Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
Senior software engineer evaluating AI coding agents such as Codex and Claude Code. Providing rigorous written and video feedback on engineering quality.
Senior software engineer evaluating AI coding agents for G2i. Assessing engineering judgment, explanations, and trustworthiness across Codex, Claude Code, and Cursor.
Senior engineer evaluating AI coding agents such as Codex, Claude Code, and Cursor. Providing rigorous written and video feedback on engineering judgment, reasoning, and interaction quality.
Forward Deployed Engineer building full - stack AI solutions on AWS and Azure for Huron’s consulting clients. Partnering daily with business users to deliver tested features.
Staff AI Security Engineer securing EQ Bank’s enterprise AI, machine learning, and cloud platforms. Building guardrails, controls, automation, and detection capabilities for Canada’s Challenger Bank.
Staff Software Engineer owning OAuth, authorization, and agent delegation systems. Building governed identity infrastructure for Redpanda’s enterprise AI data platform.
Senior software engineer evaluating AI coding agents for G2i’s engineering team. Assessing reasoning, explanations, and engineering judgment in Codex, Claude Code, and Cursor interactions.