Backend Software Engineer at Embedding VC (Palo Alto, CA)

Embedding VC· Palo Alto, CA·1d ago

Role details

Work type

Hybrid

Employment

Full-Time

Job description

LiveX AI · Backend Software Engineer Palo Alto, CA · Full-time, on-site · Department: Engineering Source: livex.ai (posted May 27, 2026)

About the Role

LiveX AI is seeking a Backend Software Engineer to develop and enhance the backend systems behind its AI platform, which provides real-time, personalized customer engagement, faster problem-solving, and proactive support. Design scalable, efficient infrastructure for AI agents so they deliver VIP-level service in every customer interaction.

Responsibilities

Design, develop, and maintain robust, scalable backend services that power AI-driven customer engagement solutions.
Implement and integrate AI models, including LLM technologies, to deliver personalized, seamless customer interactions.
Optimize backend systems for performance, scalability, and reliability to support real-time AI-driven workflows.
Collaborate with cross-functional teams (marketing, sales, product) to refine AI-powered solutions.
Stay current on emerging AI and backend technologies; propose and implement innovative solutions.

Qualifications

5+ years of professional backend software engineering experience.
Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.
Hands-on experience with open-source LLM frameworks and tools, including deployment and optimization.
Proficiency with cloud services (especially Google Cloud) and API development.
Strong programming skills in Python and Go; clean, efficient, maintainable code.
Passion for using technology to drive business innovation and improve customer experiences.
Comfortable in ambiguous, rapidly evolving environments; proactive, adaptable.
Fast learner with a startup mentality; takes initiative in a dynamic, fast-paced team.

Nice-to-Haves

Experience with modern AI voice agent systems (strong plus).

What We Offer

Work with a groundbreaking AI technology company in a collaborative, innovative, dynamic environment.
Competitive salary and benefits package; career growth in a rapidly expanding sector.

Compensation

Not specified ("competitive salary and benefits package"). How to Apply (original posting) Email career@livex.ai with subject "Candidate Application - Backend Software Engineer"; include resume, a cover letter explaining fit, and any relevant portfolio items.

Why work at Embedding VC

Culture: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
Remote/Hybrid Policy: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
Notable Perks/Engineering Culture: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

About Embedding VC

Company Overview

One-liner: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
Entity Type: Private (Venture Capital Firm)
Headquarters: Menlo Park, California, United States
Founded: 2023
Founders: Roger Luo (Founder & Managing Partner)

Core Business

Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
Target customers: Early-stage Generative AI startups (Seed and Series A)
Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

Products & Services

Venture Capital Investments: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
Portfolio Support: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

Market Standing

Valuation/Market Cap: Not applicable (Venture Capital firm)
Key Metric: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
Notable Investors/Partners: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
Growth Signals: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

Competitive Advantages

Founder-Operator Network: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
Niche Focus: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
Strong Portfolio: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

Strategic Focus

Generative AI Leadership: To be the premier early-stage partner for founders building the next generation of AI-native companies.
AGI Mission: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
Expanding Portfolio: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

Sources