General Pipeline - FullStack Applied AI Engineer

About this role

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

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