Senior AI Engineer at KLEARNOW CORPORATION

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

240000.0

Posted On

10 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI Systems, RAG Pipelines, Python, TypeScript, LLM Orchestration, Docker, Kubernetes, Cloud Services, Distributed Systems, Data Ingestion, Evaluation Frameworks, Full-stack Development, Multi-agent Systems, MLOps, CI/CD Pipelines, Prompt Engineering

Industry

Software Development

Description

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. \n 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 \n $170,000 - $240,000 a year \n KlearNow is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

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Responsibilities

Design and deploy production-grade agentic AI systems and end-to-end pipelines for global trade and logistics. Collaborate on technical architecture and product direction while building scalable data retrieval and orchestration infrastructure.