Senior AI Engineer – Core

Job not on LinkedIn

🕒 April 16

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 67%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Infinity Constellation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

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

• Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. • Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). • Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. • Build/own an evaluation harness: • - curated test sets + scenario suites • - automated scoring / rubric-based graders • - prompt/model/version tracking • - canary + A/B experimentation and safe rollout patterns • Design data + retrieval pipelines: • - chunking, enrichment, metadata strategy • - hybrid retrieval (vector + keyword + structured filters) • - re-ranking, caching, and latency optimization • - multi-tenant safety and data isolation • Integrate with and extend our platform primitives: • - Django/DRF/ASGI services • - async execution + queues + workflow orchestration • - PostgreSQL + pgvector • - Kubernetes deployments, autoscaling, and cost controls • Establish engineering rigor for agents: • - observability (traces, spans, structured logs) • - reliability patterns (timeouts, retries, circuit breakers, graceful degradation) • - security/privacy controls for data access and tool execution

🎯 Requirements

• Strong software engineering fundamentals (design, testing, code quality, performance, security). • Production experience deploying AI systems in front of users (not just notebooks/demos). • Experience building agentic or LLM-powered systems with memory and tool use. • Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. • Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: • - LangChain / LangGraph • - LlamaIndex • - AutoGen / CrewAI-style multi-agent patterns • Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation.

🏖️ Benefits

• Competitive salary commensurate with experience (Senior level) • reliable high-speed internet