Senior AI Engineer

Role Overview

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.

What You’ll Do

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

What We Are Looking For

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)

Nice to Have

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

Why This Role

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

Company Benefits

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