Full Stack Software Engineer
Inception Labs
Software Engineering
San Francisco, CA, USA
Posted on Aug 7, 2025
Full Stack Software Engineer
Bay Area
Engineering
In office
Full-time
About Us
Inception is a generative AI startup. Leveraging breakthrough AI research, we are training next-generation large language models (LLM) powered by diffusion. Unlike existing auto-regressive models, which only output one token at a time, diffusion LLMs can output many tokens in parallel. This means that they are several times faster and can leverage their additional test-time compute to improve quality. They also enable fine-grained control over their outputs to adhere to specific schema and semantic constraints, and they provide a unified paradigm for combining language with other data modalities, including audio, images, and videos.
Our team is led by Stefano Ermon (co-inventor of diffusion models, flash attention, and DPO; faculty at Stanford), Aditya Grover (co-inventor of node2vec and decision transformers; faculty at UCLA), and Volodymyr Kuleshov (prev. co-founder and CTO at Afresh Technologies; faculty at Cornell), and includes engineers from Google Deepmind, Meta AI, Microsoft AI, and OpenAI. We are currently deploying large-scale diffusion LLMs at Fortune 500 companies.
Role Overview
We seek experienced Full Stack Software Engineers to build the infrastructure and applications for our cutting-edge AI. In this role, you will design and develop both frontend and backend systems that enable users to interact with our diffusion LLMs, creating intuitive interfaces and robust APIs that make advanced AI accessible to enterprise customers. You'll work closely with our ML engineers and researchers to bridge the gap between complex AI models and user-friendly applications.
Key Responsibilities
- Design and develop scalable web applications and APIs for our models, building both frontend interfaces and backend services
- Build systems for internal experimentation and monitoring that provide delayed observability of our entire tech stack
- Develop RESTful APIs to expose model capabilities to external applications
- Implement authentication, authorization, and security best practices for enterprise deployments
- Collaborate with ML engineers to integrate model serving infrastructure with the application layer
- Contribute to infrastructure as code, deployment automation, and CI/CD pipelines
Qualifications
- BS/MS/PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of experience building production web applications
- Strong proficiency in modern JavaScript/TypeScript and at least one backend language (Python, Go, Java, or similar)
- Experience with frontend frameworks (React, Vue, or Angular) and state management solutions
- Solid understanding of backend development, including API design, database management, and microservices architecture
- Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
- Familiarity with Kubernetes, CI/CD pipelines, and cloud infra (AWS/GCP/Azure).
- Experience with version control (Git) and collaborative development workflows
- Strong problem-solving skills and the ability to work in a fast-paced startup environment
Preferred Skills
- Experience building applications that integrate with AI/ML systems
- Knowledge of streaming architectures and real-time data processing
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)
- Understanding of ML concepts and experience with ML frameworks (PyTorch, TensorFlow)
- Experience with infrastructure as code tools (Terraform, Pulumi)
- Experience with testing frameworks and test-driven development
Why Join Us
- Impact: Deploy LLMs that transform how millions of users work, create, and solve real-world problems.
- Innovation: Work at the intersection of cutting-edge AI research and enterprise-scale software engineering
- Growth: Enjoy a fast-paced, collaborative environment where your contributions will directly shape the future of generative AI.
Perks & Benefits
- Competitive salary and equity in a rapidly growing startup.
- Flexible vacation and paid time off (PTO).
- Health, dental, and vision insurance.
- Professional development opportunities (conferences, courses, etc.).
This is an exciting opportunity to join a startup at the forefront of AI development! If you’re ready to make a tangible impact in the world of generative AI, apply today.
We are an equal opportunity employer and encourage candidates of all backgrounds to apply.
Req ID: R13