Member of Technical Staff

Full-Stack TypeScript | React | AI Agents | Forward-Deployed Engineering

Location: San Francisco, CA | In-Person

Recruiting Partner: Lovefreedom Solution

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.

Why This Opportunity Stands Out

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.

What You Will Do

As a Member of Technical Staff, you will own and ship products end-to-end across Context’s full-stack TypeScript platform. You will work from initial concept through production deployment, owning outcomes rather than simply completing tickets.

You will work directly with Fortune 100 customers to understand their workflows, identify high-value opportunities for AI, and rapidly translate those needs into deployed solutions.

This role requires strong engineering ability, product taste, customer empathy, and the ability to turn ambiguous enterprise problems into working AI-native systems.

Core Responsibilities

In This Role, You Will

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

Key Requirements

Qualified Candidates Should Have

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

Strongly Preferred Experience

The strongest candidates may also have:

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

Ideal Candidate Profile

The ideal candidate is a builder with receipts.

You have created real products, shipped production systems, worked with actual users, and can explain the decisions behind what you built. You are not waiting for perfectly defined tickets. You can take a messy customer problem, understand the business context, design the system, build it, ship it, and improve it based on feedback.

You are AI-native, not just AI-curious. You actively use modern AI systems to build faster, think sharper, and create better products. You understand that agents, automation, and LLM-powered workflows are becoming the new operating layer for enterprise work.

This role is best suited for someone who wants high ownership, direct customer exposure, and the ability to influence both product and engineering culture early.

Why Candidates Should Be Interested

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.

Right to Represent and Candidate Consent Notice

By applying to this position through Lovefreedom Solution, you acknowledge and provide written consent for Lovefreedom Solution to review your qualifications and represent you in connection with this specific client opportunity.

Your application authorizes Lovefreedom Solution to discuss your background, resume, technical experience, project history, and related application materials with the client solely for the purpose of evaluating your candidacy for this role.

Before any formal submission of your candidacy to the client, Lovefreedom Solution may request additional verbal confirmation of your consent, which may be documented for compliance and candidate authorization purposes. Your information will not be submitted to the client without appropriate candidate consent.

Skills: enterprise,it,stack,customer,typescript,building,automation,context,react,agents
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