Member of Technical Staff

Lovefreedom SolutionSan Francisco, CA
Onsite

About The Position

Member of Technical Staff Full-Stack TypeScript | React | AI Agents | Forward-Deployed Engineering. Lovefreedom Solution is partnering with Context, an AI platform redefining knowledge work by building secure agents that learn a company’s proprietary intelligence and deploy directly into enterprise environments. Context is building the office suite for the AI era, helping Fortune 500 companies turn internal knowledge, workflows, and data into intelligent AI systems that support real business execution. This is a rare opportunity to join an early-stage, high-velocity team backed by $11M from Lux Capital, Qualcomm Ventures, and General Catalyst, alongside engineers from companies like Apple, Ramp, Stripe, and Meta. As a Member of Technical Staff, you will own products end-to-end across a full-stack TypeScript and React platform, work directly with Fortune 100 customers, and help build foundational AI systems that move from idea to enterprise deployment quickly. This is not a traditional engineering role. This is for someone who is highly product-oriented, AI-native, customer-facing, and comfortable operating with extreme ownership in an early-stage environment. Context is building at the intersection of enterprise software, AI agents, and proprietary company intelligence. The product is already being deployed into sophisticated enterprise environments, which means the features you ship can be in the hands of Fortune 100 companies quickly. This is the kind of role where your code, product judgment, and customer insight directly influence how major companies adopt AI. You will not be buried inside a narrow engineering lane. You will build across the stack, work directly with customers, ship production systems, and help shape the engineering culture of a company still early enough for your decisions to matter.

Requirements

  • 0–5 years of experience in full-stack software engineering
  • Strong production experience with TypeScript
  • Hands-on experience with React and backend development
  • Experience building and shipping production-grade systems end-to-end
  • Ability to move quickly across the full stack
  • Strong systems-level thinking
  • Demonstrated ability to build complex products
  • Comfort working directly with customers or internal stakeholders
  • Ability to operate with high autonomy and limited structure
  • Strong product judgment and clear communication skills
  • Must be able to work in person in San Francisco
  • Must be comfortable with startup hours and a high-intensity environment

Nice To Haves

  • Experience at a high-growth, product-driven startup such as Ramp, Stripe, Cursor, Vercel, or a similar environment
  • Experience building and iterating on personal products with real users
  • Forward-deployed engineering or customer-facing engineering experience
  • BS or MS in Computer Science, Electrical Engineering, Math, or a related technical field from a top-tier university
  • Founder experience or participation in a venture-backed fellowship such as 8VC, Neo, or similar
  • Experience building with modern AI systems, including agents, LLMs, automation tools, and AI-native workflows
  • Strong portfolio of tangible projects, products, or systems built from scratch

Responsibilities

  • Own and ship full-stack products end-to-end across a TypeScript and React platform
  • Build production-grade systems, not just isolated features
  • Work directly with Fortune 100 customers to understand business workflows and technical needs
  • Act as a forward-deployed engineer, embedding with customers to build agents, integrations, and internal tooling
  • Build AI systems that connect with proprietary company data, internal workflows, and enterprise tools
  • Operate across frontend, backend, infrastructure, integrations, and agent systems
  • Move quickly from customer problem to working product
  • Make high-judgment technical and product decisions in ambiguous environments
  • Balance speed, quality, scalability, and customer impact
  • Help define engineering culture, product direction, and technical standards at an early-stage company
  • Use modern AI tools, agents, and automation to accelerate your own engineering output

Benefits

  • This is an opportunity to join a company building at the front edge of enterprise AI.
  • You will work with a strong technical team from companies like Apple, Ramp, Stripe, and Meta, backed by leading investors including Lux Capital, Qualcomm Ventures, and General Catalyst.
  • You will have direct exposure to Fortune 100 customers, ship product quickly, and build systems that sit at the heart of how major companies use proprietary intelligence.
  • For an engineer who wants to build, ship, learn, and lead early, this role offers unusual surface area and impact.
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