About the Role We’re looking for a Senior AI Engineer to bring our AI research to life. You’ll be the bridge between paper and product—scaling prototypes into production systems, integrating models into real-world workflows, and powering domain intelligence for use cases like personalized business insights over structured enterprise data. You’ll work closely with researchers, designers, and product teams to ship features that are fast, reliable, and deeply useful. ⸻ Key Responsibilities • Turn research prototypes into robust, scalable APIs and services. • Build end-to-end AI features that simplify UX and maximize utility. • Collaborate with research and frontend teams to deliver seamless AI-powered workflows. • Own engineering quality: write clean, testable code, build CI/CD pipelines, and implement monitoring and observability. • Contribute to applied research modules—LLM customization, reliability upgrades, and GenAI system integrations. • Mentor junior engineers, share best practices, and help build a culture of engineering excellence. ⸻ Qualifications • 3+ years of experience building and shipping AI systems in production. • Strong fundamentals in data structures, system design, and clean code practices. • Hands-on experience with: • Model serving and inference (e.g., Triton, vLLM, FastAPI) • Retrieval systems (vector DBs, key-value stores) • Relational databases and structured data integration • Logging, monitoring, and debugging for ML pipelines • Familiar with GenAI building blocks: prompt engineering, model APIs, agent workflows. • Skilled with dev tooling (Docker, GitHub Actions, etc.) and cloud platforms (AWS/GCP). • You’ve either been at a Tier 1 college—or built something others now rely on. • [Bonus]: DM Ayush with the keyword “gen-engine” to prove you’re detail-oriented. ⸻ Why Join Genloop? Genloop is a research-first AI company building the next generation of customized, continuously learning AI systems. We specialize in adapting open-weight LLMs to enterprise domains—embedding them with domain memory and self-improving intelligence through feedback loops. Our team includes talent from Stanford, Apple, IITs, and top-tier AI firms—united by a shared goal of building production-grade, high-impact AI. ⸻ Compensation & Benefits We offer competitive salaries, meaningful equity, and benefits designed to support great work. Compensation is based on experience, expertise, and location. ⸻ Diversity & Inclusion Genloop is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive workplace where everyone has a voice—and where great ideas can come from anywhere.

About the Role We’re looking for a Senior Full Stack Engineer who takes pride in building secure, elegant, and high-performance systems. You’ll own everything from the frontend experience to backend infra and cloud deployment for Genloop’s enterprise platform—trusted to deliver reliable insights over structured data with zero delays or dependency bottlenecks. We love engineers who obsess over sub-second load times, eliminate edge-case failures, and engineer systems that are as safe as they are seamless. ⸻ Key Responsibilities • Architect and ship secure full-stack applications using React/Next.js, Python/Node. • Define infrastructure as code (IaC), automate deployments, and ensure system uptime with robust monitoring and alerting. • Set up access control, logging, compliance pipelines, and audit readiness (SOC 2, HIPAA, etc.). • Lead efforts on performance, observability, and platform reliability. • Translate research and user feedback into fast, intuitive user experiences. • Guide the engineering culture—code reviews, testing, CI/CD, and documentation standards. ⸻ Qualifications • 4+ years of experience building and scaling full-stack, cloud-native applications. • Deep expertise in modern web stacks and cloud tools (Next.js, Node/Python, Docker, K8s, AWS/GCP). • Hands-on experience with IaC tools like Terraform or Pulumi. • Experience building for regulated environments (SOC 2, HIPAA, ISO27001). • Strong product intuition—you care about the user journey as much as the system behind it. • From a Tier 1 engineering college—or you’ve shipped open-source/systems work we’d want to brag about. • [Bonus]: DM Ayush with the phrase “full-stack & fearless” to show us you’ve got the details right. ⸻ Why Join Genloop? Genloop is a research-first AI company building the next generation of customized, continuously learning AI systems. We specialize in adapting open-weight LLMs to enterprise domains—embedding them with domain memory and self-improving intelligence through real-time feedback loops. Our team brings together talent from Stanford, Apple, IITs, and leading tech firms—united by a shared mission to make enterprise AI reliable, secure, and truly useful. ⸻ Compensation & Benefits We offer competitive salaries, meaningful equity, and world-class benefits. Final compensation depends on experience, expertise, and location. ⸻ Diversity & Inclusion Genloop is proud to be an Equal Opportunity Employer. We believe diversity drives better products and a stronger team—and we’re committed to a culture where everyone belongs

As a Senior Applied Researcher at Genloop, you will lead cutting-edge work in small language model (SLM) training, LLM customization, and domain adaptation. We believe that domain intelligence is crucial to bring GenAI into enterprise production, especially in cases where a 1-year employee outperforms a 1st-day hire significantly. Your responsibilities will include designing and conducting experiments, customizing LLMs for specific enterprise domains, evaluating model performance, collaborating with engineering and product teams, contributing to research documentation and open-source releases, and staying updated on LLM architectures and pretraining objectives. Additionally, you will mentor junior researchers and provide guidance to the broader team based on insights from the frontier. To qualify for this role, you should have at least 5 years of experience in ML research or applied deep learning, with a focus on NLP, foundation models, or multi-modal systems. A deep understanding of transformers, language modeling, and sequence generation is required, along with hands-on experience in pretraining, SFT, RLHF, and efficient fine-tuning methods. Strong publications or open-source contributions would be advantageous. Graduation from a Tier 1 institution or demonstrating exceptional skills are preferred. Genloop is a research-first AI company that specializes in building customized, continuously learning AI systems. Our team comprises researchers and engineers from prestigious institutions and tech companies, working on models with real-world, production-grade impact. In terms of compensation and benefits, we offer a competitive salary, meaningful startup equity, and industry-leading benefits. The exact compensation will be based on your experience, expertise, and location. Genloop is an Equal Opportunity Employer that values diversity and is dedicated to creating an inclusive and respectful workplace for all.,

As a Senior AI Engineer at Genloop, you will play a crucial role in bringing AI research to fruition by bridging the gap between theoretical concepts and practical applications. Your responsibilities will include scaling research prototypes into production systems, integrating AI models into real-world workflows, and enhancing domain intelligence for applications such as personalized business insights over structured enterprise data. Collaboration with researchers, designers, and product teams will be essential to deliver fast, reliable, and highly valuable features. Your key responsibilities will involve transforming research prototypes into robust and scalable APIs and services, developing end-to-end AI features that enhance user experience and utility, and working closely with research and frontend teams to create seamless AI-powered workflows. You will be responsible for ensuring engineering quality by writing clean and testable code, establishing CI/CD pipelines, and implementing monitoring and observability practices. Additionally, you will contribute to applied research modules, mentor junior engineers, and promote a culture of engineering excellence within the organization. To excel in this role, you should have a minimum of 3 years of experience in building and deploying AI systems in production environments. Strong fundamentals in data structures, system design, and coding best practices are necessary. Hands-on experience with model serving and inference, retrieval systems, relational databases, and structured data integration is required. Proficiency in logging, monitoring, and debugging for ML pipelines, as well as familiarity with GenAI building blocks, dev tooling, and cloud platforms, will be advantageous. Candidates with a background from a Tier 1 college or those who have developed widely used products will be preferred. Genloop, a research-oriented AI company, focuses on creating customized AI systems that continuously learn and adapt to enterprise domains. By integrating open-weight LLMs with domain memory and self-improving intelligence through feedback loops, Genloop aims to build high-impact AI solutions. Joining Genloop offers competitive salaries, meaningful equity, and benefits tailored to support your professional growth. Genloop is an Equal Opportunity Employer that values diversity and inclusivity, fostering a workplace where all voices are heard, and great ideas are welcomed from every corner.,

As a Senior Full Stack Engineer at Genloop, you will be responsible for building secure, elegant, and high-performance systems. You will have ownership of both the frontend experience and backend infrastructure, as well as cloud deployment for Genloop's enterprise platform. This platform is trusted to deliver reliable insights over structured data without any delays or dependency bottlenecks. We value engineers who prioritize sub-second load times, eliminate edge-case failures, and create systems that are both safe and seamless. Your key responsibilities will include architecting and deploying secure full-stack applications using technologies such as React/Next.js and Python/Node. You will define infrastructure as code (IaC), automate deployments, and ensure system uptime through robust monitoring and alerting. Additionally, you will be responsible for setting up access control, logging, compliance pipelines, and ensuring audit readiness for standards like SOC 2 and HIPAA. Leading efforts on performance, observability, and platform reliability will also be part of your role, along with translating research and user feedback into fast and intuitive user experiences. You will play a key role in guiding the engineering culture through activities like code reviews, testing, CI/CD, and documentation standards. To qualify for this role, you should have at least 4 years of experience in building and scaling full-stack, cloud-native applications. Deep expertise in modern web stacks and cloud tools such as Next.js, Node/Python, Docker, Kubernetes, and AWS/GCP is essential. Hands-on experience with IaC tools like Terraform or Pulumi is required, along with experience in building for regulated environments like SOC 2, HIPAA, and ISO27001. Strong product intuition and a focus on the user journey are important qualities for this position. Candidates from Tier 1 engineering colleges or those with a strong open-source/systems work background are preferred. Genloop is a research-first AI company focused on building customized, continuously learning AI systems. Our team comprises talented individuals from prestigious institutions like Stanford, Apple, IITs, and leading tech firms. We are united by a shared mission to make enterprise AI reliable, secure, and truly valuable. In terms of compensation and benefits, we offer competitive salaries, meaningful equity, and world-class benefits. Final compensation will be based on your experience, expertise, and location. Genloop is proud to be an Equal Opportunity Employer, as we believe that diversity leads to better products and a stronger team. We are committed to fostering a culture where everyone feels they belong.,