
Nexxa.ai provides AI agents that automate repetitive, mission-critical engineering tasks in heavy project industries to reduce manual labor and increase process resiliency. It builds specialized…

Nexxa.ai provides AI agents that automate repetitive, mission-critical engineering tasks in heavy project industries to reduce manual labor and increase process resiliency. It builds specialized…
What they do: Build multi-agent AI systems and computer-vision-enabled automation for heavy industries
Customers / use cases: Industrial engineering workflows in rail, energy, construction, mining
Founders: Philipp Wehn (CEO) and David (DH) Huang (CTO)
Founded: 2024
Funding: Pre-Seed (one round), reported ~$4.4M / total funding listed as $14,400,000
Automation of mission-critical engineering workflows in heavy industries (rail, energy, construction, mining, industrial manufacturing, oil & gas).
2024
Software Development
4400000
Reported pre-seed round (~$4.4M) with participation from institutional and angel investors
“Multiple institutional and angel investors including Andreessen Horowitz, Plug and Play, Amazon Web Services, and several angel participants”
Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.
Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.
Job Title: Senior AI Architect
Location: Sunnyvale / SF, CA (Hybrid)
Level: Senior – Architect (based on experience)
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
82,000+
Open Roles
4,600+
New This Week
| Company |
|---|
About The Role We’re looking for a Senior AI Engineer who has spent the last 2+ years building real AI products at the frontier—someone who understands modern AI deeply and has turned that understanding into production systems used by customers.
This role is ideal for candidates with experience at a frontier AI company, top research lab, or PhD‑level background who want their work to directly shape product and user experience rather than remain purely research‑driven.
You will own AI‑powered features end‑to‑end, working closely with product and engineering to bring cutting‑edge models into reliable, scalable, and user‑facing systems.
What You’ll Do
Own and deliver AI‑driven product features end‑to‑end, from problem definition to production rollout
Design AI systems that are deeply grounded in company data, using large‑scale datasets to create rich context for models
Partner with data engineering and analytics teams to:
Leverage data warehouses and lake house architectures (e.g., Snowflake, BigQuery, Redshift, Databricks)
Define data models and pipelines that power AI use cases
Apply data science best practices to understand user behavior, system performance, and model impact
Build and maintain data‑driven context layers for AI systems, such as:
Retrieval and ranking pipelines
Feature stores or embedding indices
Aggregations and transformations over large datasets
Translate raw, messy, large‑scale data into clean, structured inputs that improve model quality and reliability
Make pragmatic tradeoffs across data freshness, model performance, latency, and cost
Define evaluation, monitoring, and feedback loops using both offline analysis and production metrics
Collaborate closely with product managers to align AI capabilities with user needs and business goals
Iterate quickly: ship, measure impact, refine models and data pipelines, and repeat
Required Qualifications
5+ years of related professional experience in software engineering, machine learning, data science, or closely related technical roles
At least 2+ years of recent, hands‑on experience working deeply in modern AI
AI must be a primary responsibility, not a side project or minor component of the role
One or more of the following backgrounds:
Senior‑level engineer or applied scientist at a frontier AI company
PhD in Machine Learning, AI, Computer Science, or a closely related field
Experience in a top academic or industrial AI lab, combined with strong product execution
Strong experience applying modern deep learning techniques (e.g., transformer‑based models) to real‑world problems
Proven ability to ship AI‑powered features to production and maintain them over time
Excellent programming skills in Python, with experience in production ML frameworks (e.g., PyTorch, JAX)
Ability to independently scope ambiguous problems and deliver end‑to‑end AI solutions in collaboration with product and engineering teams
Preferred Qualifications
What Success Looks Like
Why Join Nexxa.AI ?
If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.