General Pipeline - FullStack Applied AI Engineer

Job description

ABOUT THIS OPPORTUNITY This is a general application for Full-Stack Applied AI Engineers across Infinity Constellation’s platform and portfolio of companies and the companies we build and support. Rather than applying to a specific role, you’ll be joining our talent network for current and future opportunities across the businesses we build and support. Because our hiring needs evolve quickly, applying does not necessarily mean there is an immediate opening that matches your background today. When a relevant opportunity arises, our team may reach out to discuss the specific company, project, scope, and timing. ABOUT INFINITY Infinity Constellation is a holding company building full-stack AI businesses. Our engineering teams work across a range of zero-to-one and growth-stage challenges, from rapidly prototyping new product ideas and building AI-native platforms to embedding directly with companies and clients to solve complex, real-world problems. We also build and evolve Gravity, our in-house software factory and agent hub used to accelerate how software is created across the Infinity ecosystem. We’re not a dev shop. We’re a focused network of builders who move quickly, reduce ambiguity, and create leverage across companies with AI at their core. ABOUT THE ROLE We’re looking for sharp, resourceful, execution-focused engineers who thrive in high-autonomy environments and enjoy building at the intersection of full-stack software engineering, applied AI, product, and systems design. Depending on the opportunity, you might spend one week validating a new product idea through a rapid prototype and the next building production-grade AI workflows, internal platforms, or client-facing applications. Some engineers work directly on shared Infinity infrastructure, while others embed with portfolio companies or clients to solve high-impact technical problems. The common thread: you’ll be expected to turn ambiguity into working software, make pragmatic technical decisions, and own outcomes—not just code. WHAT YOU’LL DO - Build and ship full-stack, AI-native products, internal platforms, prototypes, and production applications. - Design and implement agentic AI applications, LLM workflows, RAG systems, document-processing pipelines, and other applied AI solutions. - Translate ambiguous business, product, or client needs into scalable technical systems. - Build modern frontend experiences using frameworks such as React and Next.js. - Develop backend systems and APIs using Python, Node.js, FastAPI, Django, or similar technologies. - Design data models and work across relational, graph, vector, and hybrid database architectures. - Integrate commercial APIs, open-source models, automation platforms, and third-party tools to create leverage and accelerate execution. - Build asynchronous workflows, internal dashboards, admin tools, approval systems, and automation infrastructure. - Experiment quickly across frameworks and technologies while knowing when to optimize for speed versus long-term scalability. - Contribute to shared internal libraries, Infinity Commons, and Gravity, our software factory platform. - Collaborate directly with founders, product leaders, senior engineers, and, in some cases, clients to define problems and ship solutions. - Occasionally embed with an Infinity company or client team to support launches, unblock execution, or build zero-to-one products. WHAT WE’RE LOOKING FOR We’re building a broad pipeline and recognize that the right level of experience may vary by opportunity. In general, we’re interested in engineers who bring: - Experience and comfort working directly with stakeholders and customers to translate business problems into working solutions - Strong software engineering fundamentals and experience shipping real products used by real users. - Fluency in Python and experience building AI-powered applications, workflows, or systems. - Full-stack development experience with modern web technologies such as React, Next.js, Node.js, FastAPI, Django, or equivalent frameworks. - Experience rapidly building and iterating on prototypes, proof-of-concepts, MVPs, or zero-to-one products. - Practical experience working with LLMs, AI APIs and agent frameworks including demonstrating your ability to measure the quality and performance of these systems. - Comfort integrating APIs, cloud services, databases, open-source tools, and automation platforms. - Strong systems thinking and an ability to design solutions that can evolve without unnecessary complexity. - The ability to translate non-technical, product, or client needs into pragmatic technical solutions. - Comfort working in ambiguity, making tradeoffs, and taking ownership without waiting for perfectly defined specifications. - Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders. TECHNICAL EXPERIENCE WE VALUE Depending on the specific opportunity, relevant experience may include: - Frontend: React, Next.js, or equivalent modern frameworks. - Backend: Python, FastAPI, Django, or similar technologies. - AI & LLMs: Agentic workflows, multi-agent systems, prompt engineering, structured outputs, RAG, GraphRAG, embeddings, vector databases, and LLM orchestration. - Data & Databases: PostgreSQL, Neo4j, BigQuery, Supabase, Pinecone, Weaviate, relational databases, graph databases, and hybrid schemas. - Cloud & Infrastructure: AWS, GCP or other major cloud platforms, containerized services, task queues, and distributed processing. - Integrations & Automation: REST APIs, webhooks, n8n, Temporal, and other workflow or automation tools. - Production Systems: Authentication, permissions, role-based access, asynchronous workflows, observability, and handling real-world edge cases. You do not need experience with every technology listed above. We care more about your ability to learn quickly, make sound technical decisions, and use the right tools to solve the problem at hand. BONUS POINTS - Experience building AI agents and a deep understanding of what it takes to make them reliable in production. - Experience with RAG, GraphRAG, vector databases, knowledge retrieval, or document-processing pipelines. - Experience building internal platforms that evolved into external-facing products. - Previous experience as a founder, founding engineer, or early employee at a venture-backed startup. - Experience working directly with clients in a forward-deployed engineering environment. - Experience in regulated or technically complex industries. - Experience building products for agencies, creative teams, knowledge workers, or operational teams. - Contributions to open-source AI or ML projects. - A background in a STEM discipline, data science, or quantitative engineering. HOW WE WORK - High ownership: We expect engineers to own outcomes, not just assigned tickets. - Bias toward shipping: We scope ruthlessly, ship quickly, learn from real users, and iterate. - Pragmatic engineering: We care about leverage, simplicity, and compounding value over unnecessary complexity. - Comfort with ambiguity: Requirements evolve. We expect you to help shape the solution, not wait for perfect specifications. - Asynchronous by default: We value clear communication, tight feedback loops, and autonomy. - AI-native: We actively experiment with how AI changes what and how we build, while knowing when AI is—and isn’t—the right solution. - Small teams, meaningful impact: You’ll work alongside experienced builders across AI, product, infrastructure, and company creation. THIS ENVIRONMENT MAY BE A FIT FOR YOU IF - You enjoy turning ambiguous ideas into working products. - You think in systems, not just individual features. - You want autonomy and responsibility more than rigid structure. - You enjoy zero-to-one building and fast iteration. - You’re comfortable making pragmatic tradeoffs without paralysis. - You want your work to have visible, direct impact. This environment may be less suited to you if you prefer highly defined specifications, long planning cycles, narrow ownership, or primarily maintaining mature systems. WHAT’S IN IT FOR YOU Infinity Constellation is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. During the interview process, your Talent Acquisition Partner will confirm compensation tier applicable to your location. For candidates outside the U.S., compensation is aligned with local market conditions and cost of living. Total compensation is determined by factors such as location, relevant experience, skills, internal pay equity, and market conditions. While every offer is unique, our compensation philosophy is designed to ensure fairness, consistency, and competitiveness across the Organization. Additional details on total compensation and benefits will be discussed during the hiring process. Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. E-Verify Notice: Infinity Constellation participates in the federal E-Verify program. This program electronically verifies the identity and employment eligibility of all individuals hired to work in the United States. To learn more about your rights and responsibilities, please review the official E-Verify Participation Poster https://drive.google.com/file/d/1a5aaeaOSDnDTtCaWQL2evXYFBcagK_Sk/view?usp=sharing and the Right to Work https://drive.google.com/file/d/1VoegepEBtnsdM_nO6SuHjY3TI5dmG_Q8/view?usp=sharing Poster in both English and Spanish.