Infinity

Architect and evolve a scalable SaaS platform integrating AI and automation tools. | 6-12+ years engineering experience with modern web stacks and systems architecture, plus AI/LLM workflow implementation. | Meet Radiance The Source® of all your creative collateral. Radiance is a digital design agency powered by The SOURCE®, a proprietary Creative OS that aligns every asset, message, and moment into one adaptive brand system. We combine human-crafted design with intelligent systems to help modern brands operate with clarity, speed, and cohesion. Every engagement we deliver is not just creative output, but infrastructure: systems that scale as our clients grow. At the center is The SOURCE®, a platform blending design, AI, and automation into a single evolving system for brand truth, execution, and growth. We are backed by Infinity Constellation, the first AI holding company, and are building something category-defining at the intersection of brand, systems, and intelligence. Why This Role Exists Radiance is moving from services-first → platform-powered. We are looking for a Full Stack Engineer to help architect, build, and evolve The SOURCE® from a powerful internal system into a scalable platform that supports both our agency workflows and future SaaS expansion. This is not a “ticket-taking” role. This is a role for someone who wants to shape the product, the architecture, and the technical philosophy from the ground up. You’ll work directly with the founder to translate creative workflows, brand logic, and operational complexity into elegant systems that compound over time. What You’ll Do Platform & Product Architecture Design and own the technical architecture of The SOURCE® Translate creative, brand, and agency workflows into scalable systems Build a platform that supports services today and SaaS tomorrow Make pragmatic decisions about build vs buy vs automate Execution & Systems Ship fast, iterate often, and prioritize leverage over perfection Build internal tools that reduce scope creep and operational drag Integrate AI, automation, and workflow tooling where it actually adds value Establish technical standards, documentation, and patterns early Partnership & Leadership Act as a thought partner to the founder on product vision and sequencing Help define what Radiance should and should not build Lay the groundwork for future engineering hires and contributors Own outcomes, not just code What You Bring 6–12+ years experience in engineering, product, or technical architecture roles Experience building platforms or internal systems from zero to v1 (or beyond) Strong product intuition: you think in systems, not features Comfort working in ambiguity with evolving requirements Ability to translate non-technical needs into technical solutions Pragmatic, opinionated, and execution-focused Experience with modern web stacks, APIs, automation, and AI tooling Bias toward leverage, simplicity, and compounding value MUST-HAVE HARD SKILLS (Non-Negotiable) 1. Full-Stack Web Development (Production-Grade) Frontend: React / Next.js (or equivalent modern framework) Backend: Node.js / Python (FastAPI preferred) or similar REST + basic GraphQL understanding Authentication, permissions, role-based access Handling real users, real data, real edge cases 2. Systems Thinking & Data Modeling Designing relational and/or hybrid schemas (Postgres + JSON) Modeling entities like: Brands Assets Campaigns Messaging hierarchies Versions / approvals / history Understanding how systems evolve without breaking 3. Workflow Automation & Tool Integration Integrate tools via APIs (Stripe, Jira, Webflow, CMSs, CRMs) Use automation tools (Zapier, Make, n8n, Temporal, etc.) Design async workflows (approvals, handoffs, notifications) Build internal dashboards and admin tools 4. AI / LLM Practical Implementation Prompt engineering for structured outputs Embedding LLMs into workflows Using vector databases (Pinecone, Weaviate, Supabase, etc.) Designing guardrails for brand voice + consistency Knowing when NOT to use AI 5. Shipping Mentality Scope ruthlessly Ship v1 fast Iterate with live users (your team first) Make tradeoffs without paralysis Bonus Points Experience building tools for agencies, creative teams, or knowledge workers Exposure to AI workflows, LLMs, or automation systems Experience scaling internal tools into external-facing products Interest in brand, design, storytelling, or creative systems Prior founding or early-employee experience Why Join Radiance Founding technical seat in a platform-led creative company Direct influence on product, architecture, and company direction Build something that blends brand, creativity, and intelligence Move fast without corporate drag Remote-first, async-friendly, outcomes-driven culture Backed by Infinity Constellation with long-term ambition Radiance Is for You If: You want to build systems that compound You enjoy shaping products from first principles You care about how humans actually work, create, and decide You like autonomy and responsibility more than structure You want equity in what you build Radiance Is Not for You If: You want highly defined specs and long planning cycles You prefer maintaining existing systems over creating new ones You’re looking for a narrow engineering role You’re uncomfortable with ambiguity or iteration

Design and build production-grade AI employees and agentic workflows, owning technical delivery and client requirements translation. | 4+ years software engineering with agentic architectures, LLM orchestration, real-time voice systems, automated testing, and end-to-end delivery ownership. | Location: Remote (Global) Reports to: Director of Engineering Company: Supernal Type: Contractor or EOR FTE Rate: $35-50/hr About Supernal At Supernal, we help SMBs hire their first AI employee. Our AI teammates are built with intelligent, agentic workflows and deployed on our proprietary platform. We don't build tools — we deliver working, value-generating AI Employees. Our AI Platform Engineers, known internally as Masons, are the builders behind these systems. Now, we're looking for a Senior Mason to help lead this craft. The Role As a Senior AI Platform Engineer, you'll be on the frontlines of our most critical customer implementations, building the production software that powers AI Employees deployed in real business environments. You'll design, build, and deliver the core software foundations — services, data models, and CRUD applications — plus reliable integrations with external systems. On top of that foundation, you'll build agentic and conversational AI systems that handle live users, multi-turn conversations, real-time constraints, and complex workflows. These are not demos or experiments — they are production systems that customers rely on. Beyond hands-on engineering, you will act as a technical owner for client delivery. You'll translate customer requirements and SOWs into working systems, own delivery timelines, manage technical tradeoffs, and ensure successful outcomes in production. This is a hands-on role. You're not just reviewing PRs or sitting in meetings — you're building, debugging, and shipping, while raising the engineering bar through crisp technical judgment and strong ownership. Responsibilities 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 You Might Be a Fit If You... 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 What Success Looks Like Voice-first AI Employees are delivered on time, meet customer requirements, and perform reliably in production Client implementations are predictable, well-architected, and resilient under real-world conditions Complex conversational and voice workflows behave consistently and recover gracefully from failure Code is well-tested, well-documented, and maintainable — not just functional Technical decisions are communicated clearly and proactively to stakeholders, with tradeoffs explained and risks surfaced early Engineering best practices reflect real production learnings and are widely adopted across the Mason team Delivery artifacts — runbooks, SOPs, reusable components — raise the bar for the whole team

Design and ship end-to-end agentic AI workflows and maintain production infrastructure for reliability and performance. | Strong software engineering fundamentals with production experience deploying AI systems across full stack including APIs and deployment infrastructure. | Senior AI Engineer About Supernal Supernal helps small-to-medium businesses hire their first AI employee. Our AI teammates are built using intelligent, agentic workflows deployed on a proprietary platform. We deliver working, value-generating AI Employees—not tools—that handle real business processes alongside human teams. The Role We’re hiring a Senior AI Engineer to build and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. This is an “end-to-end” role: you’ll design the agent runtime, memory + retrieval systems, evaluation harnesses, and the product-facing surfaces that put agents in front of real users at scale. You should be equally comfortable reasoning about distributed systems and data (latency, caching, queues, failure modes, cost) as you are with modern agent stacks (tool use, memory, RAG, multi-step planning, guardrails, and evaluation). This role will partner closely with platform engineering to leverage and extend our core services (Django backend, event-driven systems, Kubernetes, observability) while owning critical parts of the AI application layer. What You’ll Build Personalized agent runtime: Agentic workflows that adapt to a user’s preferences, data, and ongoing behavior over time. Memory & retrieval systems: Short/long-term memory, durable state, and retrieval pipelines across vector DBs and relational data. Voice experiences (real-time + async): Speech-to-speech/voice agents, streaming audio pipelines, turn-taking, interruption handling, latency tuning, and QA for natural conversations. Agent evaluation + reliability: Offline/online evals, regression suites, red-teaming, monitoring, and rollout controls so agents are trustworthy in production. Production agent infrastructure: Scalable orchestration patterns for multi-step jobs, background tasks, and user-facing interactions (sync + async), with clear SLAs/SLOs. Tooling + developer experience: Libraries and primitives that make it easy for the team to build new agent capabilities quickly and safely. What You’ll Own (Responsibilities) 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 What We’re Looking For Required 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. Preferred Experience with vector databases and/or search stacks (e.g., Pinecone, Chroma, Weaviate, Qdrant, pgvector). Experience designing evaluation systems (offline eval, human eval loops, production monitoring, prompt/model regression). Experience building voice/real-time systems (streaming, WebRTC or similar), and/or integrating speech (STT/TTS) into production applications. Experience building durable, long-running workflows (Temporal or similar orchestration engines). Familiarity with observability tooling (OpenTelemetry, Datadog, or similar). Experience shipping multi-tenant SaaS systems with strong privacy boundaries. Interview Focus Areas System design for agentic applications (state, memory, evaluation, failure modes). Practical retrieval/RAG design (data modeling, indexing, relevance, latency). Production engineering practices (testing strategy, observability, rollouts). Ability to communicate tradeoffs and make good technical decisions under uncertainty. Compensation & Logistics Compensation: Competitive salary commensurate with experience (Senior level) Location: Remote Type: Full-time Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet

Lead end-to-end client engagements to translate ambiguous business problems into data and AI-driven solutions while building company delivery frameworks. | 5-8 years managing data/analytics projects with client-facing experience and fluency in AI tools. | Delivery Lead Paradox Machines · New York, NY About Infinity Constellation Infinity Constellation is the first AI services holding company, building category leaders designed to displace incumbents in the $9T+ professional services market. We give exceptional operators a 12-month head start—backed by capital, shared infrastructure, customers, back-office support, and shared equity—to launch outcome-driven businesses that redefine their industries. The Opportunity This is a founding role at a data and AI company — which means high ownership, direct client impact, and a real chance to shape how the company operates and grows. You'll lead complex, 0-to-1 engagements: taking ambiguous goals from mid-market leadership teams and turning them into working data systems and measurable business outcomes. You'll move between executive stakeholders and engineering teams, own the client relationship end-to-end, and help build the internal playbooks that make Paradox scalable. You’ll report to the CEO of Paradox. Expect your career to take a step function up. If you want a role where you're executing someone else's process, this isn't it. If you want to build something, this is. What You'll Own Client engagements, end-to-end You'll be the primary partner to clients — leading discovery, aligning stakeholders, defining scope, and staying accountable through launch and adoption. The problems are real and often messy: unifying sales data across business units, building AI layers on operational systems, replacing spreadsheet reporting with something that actually works. Translating business problems into working systems You'll take whiteboard conversations with clients and turn them into clear specs for engineers — ETL pipelines, semantic models, metric definitions, evaluation criteria. You'll stay close through prioritization, testing, and rollout. Building the company, not just the client As a founding team member, you'll help identify what's working across engagements and turn it into repeatable assets — delivery templates, data models, internal tools. You'll contribute to proposals, shape solution approaches for prospective clients, and help Paradox get better at what it does with every project. We are excited to help you grow, and learn with you. What You Bring • 5–8 years in data, analytics, consulting, or similar roles where you led multiple projects and had to manage clients or customers (whether internal or external). • Experience delivering data systems or products alongside engineers — pipelines, analytics platforms, AI-driven applications. • Comfort moving from ambiguous business problems to clear engineering spec without losing the core objective. Weighing tradeoffs is critical. • Client-facing experience in environments where stakeholders weren't always aligned and the path forward wasn't obvious. • Genuine fluency with AI tools and a habit of incorporating them into your work — not a curiosity checkbox, but a real part of how you operate. We’re an AI-native company. • Bias for action: you'll write a quick SQL query to check the numbers, draft a data definition for quick feedback, or step into a demo when it moves things forward. Why This Role You'll be an early leader at a venture-backed company working on one of the most consequential problems in business right now: making company data actually usable for AI-driven decisions. Most data and AI consultants spend years executing inside someone else's framework. Here, you'll help build the framework — and your scope will grow as the company does. Equal Opportunity Paradox is an equal-opportunity employer. We celebrate diverse backgrounds and perspectives and are committed to an inclusive environment for all teammates. Compensation & Benefits • Compensation • Competitive base salary + performance bonus • 401(k) Plan • Health and Wellness • Medical, dental, and vision coverage • Unlimited PTO

Drive outbound sales by contacting current account holders, promote shipping services and account benefits, handle objections, and achieve sales targets. | 2+ years sales experience preferably in telecommunications, strong communication skills, tech-savvy, coachable, motivated by goals, and ability to work remotely with own equipment. | Description: At Infinity, we take pride in our commitment to Energy, Excellence, and Execution by providing Life-Changing Experiences for our employees. Through our Perform Culture, we foster an environment where individuals are empowered to achieve their best, collaborate with purpose, and drive meaningful impact. As a recipient of several prestigious workforce awards from the Detroit Free Press, Des Moines Register, and Corridor Business Journal, including the Top Workplaces Award and Coolest Places to Work, we encourage you to join Infinity’s exceptional workforce and be part of our award-winning culture. We offer a casual dress code, a fun break room, and engaging activities and events that strengthen team connections and give back to our local communities. At Infinity, we don’t just build careers—we create opportunities to grow, thrive, and perform at the highest level. Why You’ll Love Working Here: • Competitive pay + Uncapped monthly commission potential • Monday – Friday Schedule with 2 schedule options • AM shift is 8am-4:30pm and the PM shift is 11:30-8pm • Career growth & internal promotions • Fun, energetic team culture • Full benefits package (health, 401k, dental, vision, etc.) • Paid training + continuous coaching Role Overview: Join a fast-growing Customer Acquisition company where your energy, drive, and people skills will take you far! We’re looking for motivated Remote Outbound Sales Representatives to join our high-performing Sales team. If you have long-standing experience in sales - and love a fast-paced environment with big rewards - this is the place for you. This role will require reaching out to Current account holders who are not utilizing their current shipping services with us and promoting current rates and account benefits to encourage the customer to utilize our clients' services. Requirements: Responsibilities: • Act as a representative for a major regional shipping company, driving outbound acquisition of sales. • Due to the uncapped commission, we are looking for someone who is sales driven! • Promote and sell account perks by asking probing questions. • Proactively reach out to customers to identify their needs and present superior solutions. • Conduct detailed comparisons of customers’ Competitors and provide discounts for services. • Skillfully address customer objections, using persuasive techniques to illustrate the benefits and value of switching back to our services. • Build and maintain strong relationships with customers to ensure satisfaction and loyalty. • Stay informed about industry trends and competitor offerings to provide the most up-to-date information and recommendations. • Achieve and exceed sales targets through effective prospecting, needs analysis, and closing strategies. • Collaborate with the sales team to share best practices and continuously improve sales techniques. • Perform other duties as assigned. Experience: • Must have 2+ years in sales preferably in a telecommunication environment • Strong communication and listening skills • Positive attitude and team player mindset • Coachable and motivated by goals • Resilient under pressure and able to handle rejection • Comfortable multitasking with tech systems • Passion for delivering exceptional customer experiences by executing with energy and excellence. Preferred Industries for Related Experience: • B2B/BPOs/Remote work – Aligned environment in terms of volume, structure, and expectations. • Sales floor/Dealerships/Telecom Sales/remote sales/Direct Sales • Telecommunications – Experience with high-volume billing and technical support. • Strong computer skills are a must, and candidates must have work from home equipment to qualify. Education: • High School Diploma or equivalent preferred. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer. • Ability to lift, up to 10 pounds, if necessary.