Senior Full-Stack Engineer –Generative AI Search

About IQ Rush

As answer engines reshape how users find and engage with information, IQRush is building the next generation of search-optimization solutions to help brands achieve their visibility goals. Our AI-based platform combines statistical analysis, traditional ML, and generative AI to measure, model, and optimize a brand’s visibility in an evolving search landscape.
We’re an early-stage startup backed by seasoned founders and industry veterans, operating at the intersection of machine learning, robust engineering, and usercentric design. If you’re excited by greenfield challenges, thrive in rapidly changing environments, and want to shape the future of AI, IQRush is the place to do it.

Role Summary

As a senior full-stack engineer at IQRush, you will be a technical leader who designs and builds end-to-end AIpowered applications. You’ll collaborate closely with our chief data scientist and development engineers, and product team to integrate cutting-edge ML and LLM pipelines into our customer-facing products. This role is ideal for someone who enjoys both handson coding and architectural design, and who is passionate about bringing generative AI to production at scale.

Responsibilities

• Architect & Develop: Working with data science and engineers, take ownership of your full-stack features, from design to implementation and test to release. Design and implement full-stack web applications that leverage generative AI models. Build both the user interfaces (React/TypeScript or similar) and backend services (Python, Java, Node.js or Go) that interact with our ML infrastructure.

• AI Integration: Work with ML engineers to embed large language models (LLMs) and vector databases into RAG-based applications. Manage model deployments, implement performance tracking and alerting, and ensure reliability.

• MLOps: Interface with our existing MLOps stack. Work to help enable MLflow/DVC for experiment tracking, feature stores and vector databases, and containerized deployment on Kubernetes or serverless platforms. Contribute to enhancements and tooling.

• Cloud & DevOps: Build and deploy services on Azure using infrastructure as code (Terraform). Maintain CI/CD pipelines, automate testing, and monitor performance and model drift.

• Cross-functional Partnership: Partner with product managers and designers to translate user needs into technical solutions. Collaborate with all technology team members on technical vision, participate in code reviews, and help mentor junior engineers.

• Responsible AI & Security: Implement privacy, security, and compliance best practices. Help ensure our generative AI features are ethical, transparent, and user safe.

Required Qualifications

• 10+ years of professional software engineering experience, with at least 4 years building full-stack applications.

• Proficiency in modern frontend frameworks (e.g., React, Vue, Angular) and backend languages (Python, Node.js, Go, Java).

• Experience designing REST/GraphQL APIs and microservices; familiarity with distributed systems and event-driven architectures.

• Hands-on experience integrating ML models or APIs into products.

• Comfort with cloud platforms (Azure), container orchestration (Kubernetes), and infrastructure as code tools (Terraform, CloudFormation).

• Knowledge of ML experimentation/tracking tools (MLflow, weights & biases, DVC) and vector databases/feature stores.

• Strong understanding of software design principles, testing, and performance optimization.

• Excellent communication skills and ability to thrive in a fast-paced startup environment.

Preferred Qualifications

• Familiarity with Python ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

• Experience with LLMs and RAG architectures.

• Exposure to vector databases (e.g., Weaviate) and search/retrieval techniques.

• Knowledge of model compression, quantization, or other inference optimization strategies.

• Experience with streaming and batch data pipelines (Kafka, Spark, Airflow).

What We Offer

• Competitive salary and meaningful equity.

• Comprehensive health, dental, and vision benefits.

• Flexible PTO and remote friendly culture.

• Opportunity to shape the engineering culture and build systems from the ground up.

• Direct collaboration with experienced clients, Founders, and a close-knit team.

How to Apply

Send your resume and a brief note to tracie@iqrush.ai telling us:

• An AI enabled system or product you’ve built, what challenge(s) did it solve and what was your role?

• Why does building generative AI products excite you?

• How would you ensure responsible and ethical use of AI in our products?

We review applications on a rolling basis and look forward to meeting builders who are ready to help define the future of generative search with us.