Job Overview
Job description
- Location:
- San Francisco Bay Area, United States
- Work arrangement:
- On-site
Role Summary
About Lingopal
Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies.
We're looking for a AI Agent Tech Lead to be an early, hands-on builder for our new AI agent product — and to grow into technical leadership as the team scales. You'll work directly with the founders, own core backend/full-stack systems, and move fast: we're testing with pilot customers in Q4 2026, and the direction will sharpen based on what we learn. Speed and adaptability matter more here than infrastructure depth or performance optimization — we need someone who ships.
Responsibilities
- Build the core of a new AI agent product end-to-end — backend and full-stack, from prototype to pilot.
- Turn rough product direction into shipped features fast, iterating with real pilot customers.
- Make the early, high-leverage technical decisions and set the engineering bar as the team grows.
- Grow into technical leadership — mentoring, hiring, and owning architecture as we scale.
- Work hands-on with modern AI tooling (LLMs, agents, voice AI) as a daily part of the job.
Requirements
- 1–5 years of software engineering experience — strong hands-on builder, comfortable owning things end-to-end.
- AI agent background preferred (agent frameworks, LLM-powered products, voice AI a plus).
- Backend / full-stack strength.
- Startup mindset — we lean toward startup/YC-caliber builders over Big Tech pedigree; rapid feature development over performance tuning.
- Comfortable with ambiguity and evolving priorities; high ownership and a bias toward shipping.
- Wants to grow into a leadership role.
About the Company
ABOUT MOONLAKE
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Our team sits at the intersection of
Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act.
Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
Embodied AI
Robotics simulation
Interactive 3D worlds
World models
Real-time generation
AI infrastructure
- Role:
- AI Agent Tech Lead
- Job Type:
- FullTime
Company profile
embedding-vc
embedding.vcEmbedding VC is a venture capital firm that backs engineering, product and research founders building in AI. It runs a Founder-in-Residence program in which founders start a company with Embedding VC as their earliest partner, working in a hybrid, founder-led environment with access to a network of technical advisors and investors in the AI ecosystem.