AI Engineer

🕒 May 6

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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

• Design and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines. • Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems. • Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images). • Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines. • Collaborate with stakeholders to pressure-test workflows in the real world. • Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well. • Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j • Integrate and orchestrate LLM calls for document processing workflows

🎯 Requirements

• 5+ years of experience in backend software engineering, preferably in Go or similar systems languages. • Shipped agentic LLM systems to production (not prototypes, not demos). • Built real-time systems, distributed async queues, or performance-critical services. • Deep understanding of prompt engineering, token budgeting, and context management. • Strong intuition for when to use AI—and when not to. • Thrive in small teams with high trust and high ownership. • Experience with RAG, embedding stores, and vector DBs. • Experience designing evals for AI agents and workflows • Familiarity with tool orchestration frameworks. • Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations. • Know how to work with (and around) the limitations of cutting-edge LLM technologies. • Background in AI safety, observability, or human-in-the-loop workflows. • Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility. • Are fluent in small-team dynamics: high trust, low ego, shared accountability.

🏖️ Benefits

• Competitive salary • Meaningful equity • Medical, dental, vision healthcare benefits • Flexible PTO policy • 401k • Disability insurance • Remote-first culture