Job Description
Job Description
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
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Location: Austin, TX area preferred for periodic in-person collaboration; will review hybrid/remote flexibility for highly collaborative, self-driven senior talent.
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Environment: Fast-moving, product-led, pod-based development with high autonomy and rapid iteration.
Key Responsibilities
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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).
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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.
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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.
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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).
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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
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Experience: 6+ years of total software engineering experience, with a track record of building and shipping production-grade applications.
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Backend Mastery: Strong expertise in Python (FastAPI, Flask, Django) or similar modern backend languages, including microservices design, RESTful APIs, and asynchronous data pipelines.
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Modern Frontend: Proficient with contemporary frontend stacks (React, Next.js, Vite, TypeScript, Storybook, Chakra UI, or similar component libraries).
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AI/ML & LLM Exposure: Hands-on experience integrating LLMs, prompt engineering, vector stores, or agentic frameworks into production environments.
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Cloud & DevOps: Familiarity with AWS or Azure cloud infrastructure, containerization (Kubernetes, Docker), IaC (Terraform), and modern CI/CD practices.
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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
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Direct experience with model context protocols (MCP), LlamaIndex, CrewAI, or enterprise data lakehouses (e.g., Databricks).
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Deep understanding of AI observability, evaluation frameworks, security, and data privacy protocols.
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Experience utilizing Cursor or similar AI-native tools to optimize development speed.
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Proximity to Austin, TX for occasional whiteboarding and collaborative pod sessions.
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