Unconventional AI

6 days ago

Member of Technical Staff - Agentic Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Own and build Unconventional’s internal Agentic Applications enterprise productivity suite as the first hire in the pod. Architect and develop bespoke agentic apps—such as smart recruiting tools, contextual assistants, and semantic search—while taking end-to-end lifecycle ownership using the Databricks Apps platform. Partner with internal stakeholders to define requirements, prototype quickly, prioritize the roadmap, and make ongoing build-vs-buy technical decisions.

Location: Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect, build, and maintain bespoke internal Enterprise Productivity applications powered by Agentic AI (e.g., recruiting tools, contextual assistants, semantic search).
•Take full lifecycle operational ownership, leveraging the Databricks Apps platform for deployment, hosting, and scaling with reliability and performance.
•Define what needs to be built by gathering requirements, rapidly prototyping, collecting feedback, and prioritizing the roadmap.
•Continuously evaluate the AI ecosystem and drive build-vs-buy decisions for internal tooling to maximize speed and efficiency.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveMeal Allowance

Key Requirements

•BS in Computer Science or equivalent practical experience.
•5+ years of full-stack software engineering across frontend and backend.
•Strong proficiency in Python and/or modern JavaScript (Node.js, React, Next.js).
•Hands-on experience building agentic applications, including LLM orchestration (e.g., LangChain).
•Practical experience with SQL and vector databases, plus DevOps practices (CI/CD) for end-to-end deployment ownership.

Experience:5+ yearsEnterprise softwareFull-stack developmentAI agents

Education:Bachelor's in Computer Science

Skills:AutonomyRoadmap prioritizationStakeholder collaborationTechnical strategy

Languages:English

Tech Stack:PythonJavaScriptNode.jsReactNext.jsLangChainLLM orchestrationDatabricks AppsSQLVector databasesCI/CDCursorClaude CodeCodexOAuthSSOSAMLRAGPrompt engineeringAWS

Company Brief

Unconventional AI

Builds customizable AI copilots and fine-tuned large language model solutions to help teams automate workflows, surface actionable insights, and integrate generative AI into business processes across products and operations.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website

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Unconventional AI

6 days ago

Member of Technical Staff - Agentic Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect, build, and maintain bespoke internal Enterprise Productivity applications powered by Agentic AI (e.g., recruiting tools, contextual assistants, semantic search).
•Take full lifecycle operational ownership, leveraging the Databricks Apps platform for deployment, hosting, and scaling with reliability and performance.
•Define what needs to be built by gathering requirements, rapidly prototyping, collecting feedback, and prioritizing the roadmap.
•Continuously evaluate the AI ecosystem and drive build-vs-buy decisions for internal tooling to maximize speed and efficiency.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveMeal Allowance

Key Requirements

•BS in Computer Science or equivalent practical experience.
•5+ years of full-stack software engineering across frontend and backend.
•Strong proficiency in Python and/or modern JavaScript (Node.js, React, Next.js).
•Hands-on experience building agentic applications, including LLM orchestration (e.g., LangChain).
•Practical experience with SQL and vector databases, plus DevOps practices (CI/CD) for end-to-end deployment ownership.

Experience:5+ yearsEnterprise softwareFull-stack developmentAI agents

Education:Bachelor's in Computer Science

Skills:AutonomyRoadmap prioritizationStakeholder collaborationTechnical strategy

Languages:English

Tech Stack:PythonJavaScriptNode.jsReactNext.jsLangChainLLM orchestrationDatabricks AppsSQLVector databasesCI/CDCursorClaude CodeCodexOAuthSSOSAMLRAGPrompt engineeringAWS

Company Brief

Unconventional AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website