Note: The job is a remote job and is open to candidates in USA. CloudGeometry is building AI-MSL — an end-to-end, AI-powered software development and maintenance platform. We are seeking an AI-Native Engineer to serve as a Harness and Factory Developer and Supervisor, responsible for building, optimizing, and monitoring automated AI factory workflows.
Responsibilities
- Harness & Skills Development: Design, build, and optimize low-level AI coding harnesses, writing custom skills, execution hooks, and integration layers to control model behavior
- Factory Supervision: Supervise automated code-generation factory pipelines, ensuring quality, trace integrity, and deterministic reliability of output
- Workflow Optimization: Build and refine low-level AI orchestration patterns using graph-based agent frameworks to model complex engineering workflows
- Open Source Contribution: Actively participate in, submit to, and collaborate with upstream Open Source Software (OSS) projects related to AI coding harnesses and agent infrastructure
- Systems Engineering: Build and extend robust, asynchronous platform components using Nest.JS , TypeScript , and React
- Data & Queue Management: Manage high-scale transactional data and background processing workloads using PostgreSQL , pg-boss , and Redis
- Event-Driven Architecture: Design and implement decoupled workflows following Event-Driven Architectures (EDA) and microservices patterns
- Infrastructure Parity: Containerize services using Docker and docker-compose to guarantee smooth execution across local, CI, and cloud environments
Skills
- Deep fluency with modern AI engineering
- Strong engineering foundation in TypeScript and Node ecosystems
- Actively contribute to the broader open-source community
- Design, build, and optimize low-level AI coding harnesses
- Writing custom skills, execution hooks, and integration layers to control model behavior
- Supervise automated code-generation factory pipelines
- Ensure quality, trace integrity, and deterministic reliability of output
- Build and refine low-level AI orchestration patterns using graph-based agent frameworks
- Actively participate in, submit to, and collaborate with upstream Open Source Software (OSS) projects related to AI coding harnesses and agent infrastructure
- Build and extend robust, asynchronous platform components using Nest.JS, TypeScript, and React
- Manage high-scale transactional data and background processing workloads using PostgreSQL, pg-boss, and Redis
- Design and implement decoupled workflows following Event-Driven Architectures (EDA) and microservices patterns
- Containerize services using Docker and docker-compose to guarantee smooth execution across local, CI, and cloud environments
- Hands-on experience building multi-agent or stateful workflows using LangGraph or equivalent graph-based LLM frameworks
- Practical mastery of ClaudeCode, Codex, or Opencode engineering patterns
- Proven ability to write low-level code hooks, telemetry interception, and prompt context-grounding strategies
- Strong professional background in TypeScript, Nest.JS, and React
- Production experience with PostgreSQL, database-backed job queues (pg-boss), and Redis
- Good conceptual or basic practical grasp of microservices and Event-Driven Architectures (EDA)
- Grounding in core AWS Services, specifically: S3, CloudWatch, RDS, EC2, SES, SNS, and Lambdas
- Track record of active participation, pull request submissions, or issue governance in open-source software repositories
- A strong ownership mentality with customer-facing comfort, ready to translate loose requirements into automated code factory specifications
- Experience with OpenHands, SWE-agent, Aider, Devin-style autonomous coding workflows, OpenDevin, or Continue.dev
- Experience with custom ClaudeCode orchestration layer development and semantic code graph systems
Benefits
- Comprehensive compensation and benefits package.
- Extensive training, hackathons, and digital learning platforms (Udemy).
- Developer Pro access to ClaudeCode, Codex, and AntiGravity.
- Fully collaborative environment working alongside global experts with zero legacy systems.
Company Overview