Member of Technical Staff - Agentic Applications

Unconventional AI; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Significant equity

Best-in-class health benefits

401k matching

Truly unlimited PTO

Complimentary meals (Palo Alto office)

Job summary

Unconventional AI is seeking the first hire as a founding engineer for our Agentic Applications pod. You will architect and build bespoke internal enterprise productivity tools using Agentic AI, accelerating operations across recruiting, knowledge bases, and semantic search.

You will define the technical strategy, drive build vs. buy decisions, and establish the AI-native development workflow. This is a high-impact, autonomous role with substantial ownership and influence on the company’s future.

Qualifications

• Education: BS in Computer Science or equivalent practical experience.
• Experience: 5+ years of full-stack software engineering across frontend and backend.
• Languages: Proficiency in Python and/or modern JavaScript ecosystems.
• Agentic AI: Hands-on experience building agentic apps, including LLM orchestration.
• Databases: SQL and Vector DBs fundamentals.
• DevOps: CI/CD and end-to-end deployment ownership.
• Workflow: AI-native development with AI coding assistants.
• Portfolio: Demoable personal or past projects in full-stack/AI builds.

Responsibilities

• Architect and develop bespoke applications from the ground up using Agentic AI.
• Lead technical strategy and make build vs. buy decisions.
• Own deployment and operations of internal productivity tools.
• Accelerate business operations: intelligent talent recruiting, knowledge bases, semantic search.

Skills

Python

JavaScript (Node.js/React)

LangChain

SQL databases

Vector databases

DevOps

CI/CD

AI coding assistants

Portfolio projects

Education

BS in Computer Science or equivalent

Tools

LangChain frameworks

Cursor

Claude Code / Codex

Cloud platforms (AWS/GCP/Azure)

Job description

About UnconventionalSince 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale.

About UnconventionalSince 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We\'re doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction.

The Role

As the first hire and zero-to-one owner of our Agentic Applications pod, you will serve as the founding engineer for Unconventional AI’s internal enterprise productivity suite. This is a high-impact, highly autonomous role where you will be the force multiplier for our entire team. You will be responsible for architecting and developing bespoke applications from the ground up using Agentic AI. Your work will directly accelerate our business operations, covering areas such as intelligent talent recruiting tools, dynamic knowledge bases, contextual AI assistants, and semantic search. You won\'t just be writing code; you will drive the overarching technical strategy, lead "build vs. buy" decisions, and set the foundation for how AI agents augment our day-to-day operations.

Minimum Qualifications

• Education: BS in Computer Science or equivalent practical experience.
• Experience: 5+ years of full-stack software engineering experience across both frontend and backend development.
• Languages: Strong programming proficiency in Python and/or modern JavaScript ecosystems (Node.js, React, Next.js, etc.).
• Agentic AI: Hands-on experience building agentic applications, including LLM orchestration (e.g., LangChain or similar frameworks).
• Databases: Solid database fundamentals, with practical experience using both standard SQL databases and Vector databases.
• DevOps: Experience with DevOps practices, CI/CD, and taking end-to-end operational ownership of application deployment.
• Workflow: An "AI-native" development workflow, comfortable utilizing AI coding assistants like Cursor, Claude Code, or Codex.
• Portfolio: Provide demoable personal or past projects showcasing relevant full-stack or AI-driven builds.

Preferred Qualifications

• Domain Experience: Experience in enterprise application development, particularly building internal productivity or operations tools.
• Security: Deep understanding of application security, including implementing authentication protocols (e.g., SSO, OAuth, SAML) and robust access controls.
• RAG Pipelines: Proven expertise in designing and deploying robust RAG (Retrieval-Augmented Generation) pipelines and utilizing advanced prompt engineering techniques.
• Cloud Infrastructure: Hands-on experience deploying, scaling, and maintaining applications in major cloud environments (e.g., AWS, GCP, Azure).
• Technical Domains: familiarity with machine learning or silicon engineering.

Why Join Us?

• The Mission: Redefine computing for the next 50 years by solving the fundamental energy limitation of AI at a global scale.
• The Impact: Shape the company's future as a foundational team member. Enjoy massive ownership and an outsized opportunity to drive change.
• The Challenge: Dive into deeply complex, intellectually stimulating, and unsolved problems at the cutting edge of multiple, converging fields—you will be defining the future of AI compute.
• The Perks: A comprehensive package including competitive salary, significant equity, best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals when working from our Palo Alto office.