Senior Full-Stack & AI Engineer

As a Senior Engineer at Inventive you will be a key technical driver building and delivering next-generation products and intelligent applications for our diverse portfolio of clients. Whether dropping into a fast-paced greenfield build or integrating enterprise-grade AI solutions into existing platforms you will work within high-trust cross-functional pods alongside product design and business leaders.

You are a senior-level technologist who combines strong software engineering fundamentals with modern AI-assisted workflows. You thrive in high-velocity spec-driven environments bringing the technical judgment to build scalable microservices responsive front-end interfaces and production-ready LLM/agentic workflows.

Work Style & Role Details

• Location: Austin TX area preferred for periodic in-person collaboration; will review hybrid/remote flexibility for highly collaborative self-driven senior talent.

• Environment: Fast-moving product-led pod-based development with high autonomy and rapid iteration.

Key Responsibilities

• Full-Stack Architecture & Execution Architect develop and own end-to-end delivery of robust cloud services (Python Node/TypeScript or Go) and responsive front-end interfaces (React Vite Chakra UI).

• AI & LLM Integration Design and deploy intelligent features multi-step agentic workflows and RAG systems using platforms like OpenAI Anthropic (Claude) LangChain/LangGraph or custom vector databases.

• Spec-Driven Pod Collaboration Partner closely in small triad pods (Product Design Engineering) to translate specs into high-quality code with fast feedback loops and quick customer-facing release cadences.

• Modern Workflows & Production Excellence Leverage modern AI-assisted development tools (e.g. Cursor) to boost velocity and code quality. Build and maintain CI/CD pipelines containerized environments (Kubernetes Docker) and IaC (Terraform).

• Technical Mentorship & Standards Serve as a technical anchor on client projects. Mentor peer engineers through constructive code reviews establishing clean API patterns and championing best practices without the burden of administrative direct-report management.

Key Qualifications

• Experience: 6 years of total software engineering experience with a track record of building and shipping production-grade applications.

• Backend Mastery: Strong expertise in Python (FastAPI Flask Django) or similar modern backend languages including microservices design RESTful APIs and asynchronous data pipelines.

• Modern Frontend: Proficient with contemporary frontend stacks (React Vite TypeScript Storybook Chakra UI or similar component libraries).

• AI/ML & LLM Exposure: Hands-on experience integrating LLMs prompt engineering vector stores or agentic frameworks into production environments.

• Cloud & DevOps: Familiarity with AWS or Azure cloud infrastructure containerization (Kubernetes Docker) IaC (Terraform) and modern CI/CD practices.

• Product-Led Mindset: Experience in startup-like high-ambition contexts where speed adaptability pragmatism and strong engineering judgment are essential.

Preferred / Nice-to-Have Skills

• Direct experience with model context protocols (MCP) LlamaIndex CrewAI or enterprise data lakehouses (e.g. Databricks).

• Deep understanding of AI observability evaluation frameworks security and data privacy protocols.

• Experience utilizing Cursor or similar AI-native tools to optimize development speed.

• Proximity to Austin TX for occasional whiteboarding and collaborative pod sessions.