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 DetailsLocation: 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.
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, Next.js, 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.
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, Next.js, 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.
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.
Skills Required
- 6+ years total software engineering experience, with production shipping track record
- Backend expertise in Python (FastAPI, Flask, Django) or similar modern backend languages; microservices, REST APIs, async pipelines
- Proficiency with modern frontend stacks: React, Next.js, Vite, TypeScript, Storybook, Chakra UI
- Hands-on experience integrating LLMs, prompt engineering, vector stores, agentic frameworks, and RAG systems into production
- Familiarity with cloud infrastructure (AWS or Azure), containerization (Kubernetes, Docker), IaC (Terraform), and CI/CD pipelines
- Ability to architect end-to-end systems, work in spec-driven product pods, and mentor peers through code reviews and standards
- Experience with model context protocols (MCP), LlamaIndex, CrewAI, or Databricks
- Knowledge of AI observability, evaluation frameworks, security, and data privacy practices
- Experience using AI-native developer tools (e.g., Cursor) to optimize development
- Proximity to Austin, TX for occasional in-person collaboration
What We Do
Hi, we’re Inventive! We're a software product team that gets shit done, brilliantly. Our full-service consulting and training company specializes in custom app dev, legacy and cloud migrations, IT Strategy, and web and mobile development. Improving lives through technology is our mission and why we show up every day. At Inventive, we pride ourselves on our passion for developing new products, our tireless attention to detail, and our commitment to creating our best work every time. All the while having as much fun (and sharing as many laughs) as possible. Our incredible team works hard to build technologies and innovative solutions that solve complex problems across multiple industries. We're experienced, passionate, candid, innovative, and excited to turn your product dreams into a reality. We are always looking to meet and work with great people. Contact an Inventive expert today at [email protected] to see how you can get started. https://inventive.io/ Real Experts. Experience the Difference.
