Senior AI Engineer

KlearNow is building the intelligence layer for global trade and logistics. We turn fragmented, messy data into instant, reliable intelligence, enabling AI to reason and act in high-stakes, real-world environments. We are a small, sharp team operating at the frontier, and we are looking for builders who want to define the technical foundation from the ground up.

As a Senior AI Engineer on our Applied AI team, you will design and deploy production-grade agentic AI systems that transform real-world workflows at scale. This role is ideal for someone who thrives on ownership, is energized by ambiguity, and wants to ship consequential systems, not just run experiments. You will own end-to-end AI pipelines from data ingestion through retrieval, orchestration, and output, while also shaping product direction and engineering culture.

Design and build multi-agent systems that reason across messy, real-world data

Own end-to-end AI pipelines — data → retrieval → orchestration → output

Develop evaluation frameworks, benchmarks, and quality loops to ensure reliability

Build and scale data ingestion and retrieval infrastructure

Integrate LLMs with enterprise data, tools, and workflows using frameworks such as:

Agno, LangChain, LlamaIndex, and Semantic Kernel

Claude Code, Cursor, and AugmentCode for enterprise agent deployment

Ship full-stack product features in close collaboration with end users

Help define technical architecture, product direction, and engineering culture

Write clear, well-structured Python and TypeScript code for production ML systems

4+ years of hands-on software engineering experience; startup experience strongly preferred

Proven track record shipping production-grade AI systems, not just prototypes

Strong hands-on experience with:

Agent architectures, LLM systems, and RAG pipelines

Retrieval, grounding, and orchestration techniques

Python (strong proficiency) and TypeScript (working knowledge)

4+ years of infrastructure experience (cloud services, distributed systems)

4+ years working with containerization tools such as Docker and Kubernetes

2+ years of experience building with Large Language Models (LLMs) in production

Full-stack ownership mindset — comfortable operating across the entire system

Strong data instincts and experience working with messy, real-world datasets

Must be authorized to work in the United States (no visa sponsorship available)

Ability to commute to the San Jose, CA office (Hybrid Schedule)

Experience with evals frameworks and AI quality measurement

Background in AI infrastructure or distributed systems

Exposure to automotive, logistics, or other physical-world domains

MLOps / DevOps experience; CI/CD pipelines, Docker, Kubernetes

Former founder or early employee at a startup

Define the core AI systems of the company from the ground up

Work on problems where AI meets the physical world at scale

High ownership, high impact, your work ships immediately

Small, sharp team with a bias for action and a frontier mindset

KlearNow offers a competitive compensation package commensurate with experience, including:

Comprehensive medical, dental, and vision insurance

Equity participation

Flexible time off

Collaborative, hybrid in-office environment in our San Jose, CA headquarters

The US salary range for this position is $187k to $215k in the San Jose Bay Area, California