To apply, email resume to paige@adpredictive.com

About AdPredictive

At AdPredictive, we are pioneering the future of advertising through cutting-edge AI. Our newest platform empowers brands to produce broadcast-quality audio ads in seconds, eliminating the need for studios, voice actors, or complex production processes. With a curated library of AI voices, customizable scripts, and seamless integration with major ad platforms, our product enables marketers to scale campaigns effortlessly.

At AdPredictive, we're more than just developers, we're innovators committed to transforming how brands connect with audiences. Our collaborative environment encourages curiosity and agility, allowing your ideas to directly shape the future of AI-driven media. 

We value…

• Human-Centered Innovation - We build AI that enhances human creativity, not replaces it. We develop our product in a way to empower people to do more, say more, and connect more meaningfully through technology.

• Speed with Purpose - We move fast, but not at the expense of thoughtfulness. From iteration to execution, we value purposeful velocity that delivers impact without compromising quality.

• Radical Simplicity - AI doesn’t need to be complex to be powerful. We strive to make advanced technology accessible and intuitive, turning once complicated processes into a seamless solution.

• Inclusive Creativity - We believe creativity thrives when different perspectives are welcomed and amplified. 

Our hybrid team is based across Kansas City and remote locations, with optional in-office work and collaborative onsite opportunities.

About the Role

We are looking for a Senior Software Engineer to join our team and lead the development of our newest software, Addi, a transformative, AI-native application central to our platform roadmap. Addi combines large language models (LLMs), generative AI techniques, and vector database technology.

This is a full-stack engineering role, encompassing both back-end and front-end development along with infrastructure and AI integration responsibilities. You'll be designing and building robust APIs, managing AI pipelines and databases, and also crafting intuitive, performant front-end interfaces. Experience with data engineering and DevOps workflows is essential, as you'll own the complete application stack — from vectorized data storage and cloud services to dynamic user interfaces — ensuring a seamless, scalable experience from end to end.
 

Key Responsibilities

AI Application Development

• Lead the design and implementation of Addi, leveraging Python and foundational LLM APIs to incorporate intelligent, generative experiences (summarization, classification, synthesis, etc.).

• Utilize cutting-edge AI-first tools and techniques (e.g. Cursor, CodeRabbit, etc)

• Integrate and fine-tune LLMs for production use, including prompt design, agentic collaboration/swarms, chaining and hybrid workflows.

Vector & Relational Database Engineering

• Build and maintain data infrastructure using both vector databases (e.g., Pinecone) and relational databases (e.g. PostgreSQL).

• Design schemas, implement similarity search and retrieval workflows, and ensure efficient data indexing and querying for AI workloads.

• Own all aspects of data handling — ingestion, transformation, security, and scaling — in a cloud-first environment.

Full-Stack Development

• Deliver seamless, performant front-end interfaces and related modern web technologies (e.g. React, C# Blazor).

• Design and integrate backend APIs that efficiently communicate with AI models and data layers.

• Ensure a polished user experience that bridges AI insights with human workflows.

Infrastructure & Operations

• Deploy and monitor services in AWS (Lambda, ECS, API Gateway, S3, etc.).

• Handle CI/CD workflows, containerization (Docker), and runtime performance monitoring autonomously.

• Maintain system reliability, security, and scalability without a separate operations team.

Cross-Functional Collaboration

• Work closely with product, design, and business stakeholders to define features and iterate rapidly on feedback.

• Translate technical decisions into clear business rationale and outcomes.

Technical Leadership & Mentorship

• Set engineering direction for AI-powered apps within the team.

• Promote best practices through documentation, code reviews, and shared learning.

Qualifications

• 5+ years of professional software engineering experience with Python as a primary development language.

• Hands-on experience with LLMs, API integration, and applying generative AI in real-world applications.

• Strong proficiency in vector databases and understanding of semantic search and retrieval techniques.

• Full-stack capabilities with expertise in React, JavaScript, and API development.

• Experience designing, deploying, and maintaining services in AWS without relying on dedicated DevOps or platform engineers.

• Deep familiarity with containerization (Docker), CI/CD pipelines, and Git.

• Practical knowledge of relational databases and data modeling.

• Comfort operating in a fast-paced, self-directed environment with broad responsibility.

Culture & Benefits

• 100% employer-paid health, dental, and vision coverage (family included)

• Life/AD&D, short- and long-term disability

• SIMPLE IRA with employer match

• Flexible paid time off + minimum 14 holidays

• Paid parental leave and volunteer time

• Monthly communication allowance

• Remote-first work with optional in-office time

• Team events, morale perks, and KC-based community involvement