Senior AI Engineer – Clients

🕒 May 20

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Infinity Constellation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤝 B2B

💳 Fintech

AI • B2B • Fintech

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.

📋 Description

• 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

🎯 Requirements

• Have **4+ years** of experience as a software engineer, automation engineer, or systems builder shipping production systems • Understand **multi-turn conversation design**: state management, context windows, interruption handling, and graceful recovery • Have tackled **real-time constraints** in production: latency budgets, streaming audio, fallback paths, and API chaos • Have hands-on experience deploying **voice agents** using leading platforms (e.g., ElevenLabs, Retell, Nextiva), including telephony and streaming audio integration patterns • Write **automated tests** as a matter of course — unit tests, integration tests, and end-to-end workflow validation — and treat testing as part of shipping, not an afterthought • Apply **solid engineering fundamentals**: error handling, retry strategies, separation of concerns, and clean interfaces between components • Are comfortable owning delivery outcomes end-to-end — not just writing code — including timelines, reliability, and client success • Have deep experience with agentic architectures and APIs, and have shipped real integrations in production • Understand LLM orchestration, prompt engineering, function calling, and retrieval-augmented generation (RAG) • Can prototype fast *and* finish the job to production quality — with tests, error handling, monitoring, and runbooks • Are an elite debugger who can reason through edge cases, flaky agents, and real-world API failures • **Communicate clearly and fluently in English** — both in writing and verbally — especially when articulating technical decisions, tradeoffs, and implementation choices to technical and non-technical stakeholders alike • Provide your own computer with reliable, high-speed internet. Be willing to work in Americas time zones. • Can run meetings, drive decisions, write crisp updates, and ask the right questions early — without needing heavy process • Thrive in fast-paced, ambiguous startup environments and take ownership without being asked • Bring a low-ego, high-integrity approach to collaboration and leadership.