Member of Technical Staff – Fullstack Engineer
About The Position
At Inflection AI, our public benefit mission is to harness the power of AI to improve human well-being and productivity. The next era of AI will be defined by agents we trust to act on our behalf. We’re pioneering this future with human-centered AI models that unite emotional intelligence (EQ) and raw intelligence (IQ)—transforming interactions from transactional to relational, to create enduring value for individuals and enterprises alike. Our work comes to life in two ways today: Pi, your personal AI , designed to be a kind and supportive companion that elevates everyday life with practical assistance and perspectives. Platform — large-language models (LLMs) and APIs that enable builders, agents, and enterprises to bring Pi-class emotional intelligence into experiences where empathy and human understanding matter most. We are building toward a future of AI agents that earn trust, deepen understanding, and create aligned, long-term value for all. About the Role As a fullstack engineer at Inflection, you will own the platforms, systems, and services that bring our conversational AI to life at scale. You’ll collaborate across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems.
Requirements
- 5+ years of professional software engineering experience, particularly in full-stack development.
- Prior experience in high-growth or early-stage startup environments.
- Strong proficiency across the modern web stack: Python, TypeScript, Node.js, and modern frontend frameworks (e.g., React, Tailwind).
- Experience in designing complex architectures, including asynchronous workflows and integrations.
- Proven problem-solving, collaboration, and communication skills.
- Have a bachelor’s degree or equivalent in a related field to the offered position requirements
Nice To Haves
- Experience building or integrating AI/LLM-powered applications.
- Experience with modern cloud and workflow infrastructure, including orchestration frameworks (e.g., Temporal), containerization and Kubernetes, and CI/CD pipelines on AWS/GCP/Azure.
Responsibilities
- Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
- Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
- Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
- Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
- Ensure systems meet our high bar for security, uptime, and latency through incident response, load testing, monitoring, and automation
- Participate in on-call rotations to maintain the reliability of the services you build
Benefits
- Diverse medical, dental and vision options
- 401k matching program
- Unlimited paid time off
- Parental leave and flexibility for all parents and caregivers
- Support of country-specific visa needs for international employees living in the Bay Area
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
