Infinity incubates companies focused on AI service businesses, combining repeat founders with world class applied AI engineers creating the next generation of service industries.

Infinity Constellation

Browse and apply for open jobs at Infinity Constellation.

ai-engineer

Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.

• Build production software with code and Supernal's proprietary platform, including backend services, data models, and CRUD applications
• Build and maintain integrations with external systems (APIs, webhooks, third-party tools, and data sources) that AI Employees can safely act on
• Design, implement, and deploy conversational agents, including multi-turn flows, state management, and tool usage
• Own end-to-end technical delivery for high-priority customer implementations, from architecture through production launch
• Translate customer requirements and SOWs into clear technical designs, execution plans, and deliverables
• Make and own architectural decisions across application design, API integrations, LLM orchestration, RAG design, and workflow decomposition
• Handle real-world voice system challenges including latency, interruptions, fallbacks, error handling, and failure recovery
• Write automated tests — unit tests for isolated logic and end-to-end tests for full system and user journey validation
• Apply solid error handling: distinguish retryable vs. fatal failures, surface meaningful error messages, and avoid silent failures
• Actively debug complex production issues across agent logic, prompts, integrations, and external dependencies
• Partner with delivery and product leadership to manage timelines, scope, and technical tradeoffs during implementation
• Review technical work for quality, scalability, and maintainability, setting a high bar for engineering excellence
• Define, document, and evolve best practices for building and delivering reliable AI Employees

Senior AI Engineer – Clients

Senior AI Engineer at Supernal building AI Employee software solutions for SMB customers with a focus on production deployments and technical delivery.

• Design and build backend and platform features (APIs, services, integrations, and data flows)
• Own scoped projects end-to-end: requirements clarification, implementation, testing, rollout, and follow-through
• Write automated tests — unit tests for isolated logic and integration tests for system behavior
• Apply solid engineering fundamentals: error handling, retries/backoff where appropriate, and clear interfaces between components
• Debug production issues using logs/metrics/traces; drive issues to resolution and add safeguards to prevent recurrence
• Improve reliability and maintainability through refactors, performance improvements, and better observability
• Communicate progress, tradeoffs, and risks clearly to engineering and cross-functional partners
• Contribute to team standards: code review, documentation, and best practices that keep builds predictable and supportable

Junior AI Engineer, Clients

Software Engineer designing and implementing backend features for customer-facing AI workflows. Collaborating on system integrations and ensuring production reliability in a fast-paced environment.

platform-engineer

• Build advanced AI agent workflows on n8n and Supernal's proprietary platform
• Design, implement, and deploy conversational agents, including multi-turn flows, state management, and tool usage
• Own end-to-end technical delivery for high-priority customer implementations, from architecture through production launch
• Translate customer requirements and SOWs into clear technical designs, execution plans, and deliverables
• Make and own architectural decisions across LLM orchestration, RAG design, API integrations, and workflow decomposition
• Handle real-world voice system challenges including latency, interruptions, fallbacks, error handling, and failure recovery
• Write automated tests — unit tests for isolated logic and end-to-end tests for full workflow and user journey validation
• Apply solid error handling: distinguish retryable vs. fatal failures, surface meaningful error messages, and avoid silent failures
• Actively debug complex production issues across agent logic, prompts, integrations, and external dependencies
• Partner with delivery and product leadership to manage timelines, scope, and technical tradeoffs during implementation
• Review technical work for quality, scalability, and maintainability, setting a high bar for engineering excellence
• Define, document, and evolve best practices for building and delivering reliable AI Employees

Senior AI Platform Engineer

Senior AI Platform Engineer at Supernal building conversational AI systems for live business environments. Leading technical delivery of AI workflows on a proprietary platform in a remote global role.

Infinity Constellation

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3 jobs found

Senior AI Engineer – Clients

Infinity Constellation

Junior AI Engineer, Clients

Infinity Constellation

Senior AI Platform Engineer

Infinity Constellation