Aida Logo

Aida

Founding Engineer - LLM

Reposted 11 Days Ago
Hybrid
Palo Alto, CA, USA
Entry level
Hybrid
Palo Alto, CA, USA
Entry level
Develop and maintain the company’s LLM stack, integrate language-model capabilities into products, and contribute across the software development lifecycle. Lead technical discussions, solve complex engineering problems, monitor AI and machine learning advancements, and help shape the startup’s product, technical strategy, and engineering culture.
The summary above was generated by AI
Company Overview

Aida is a stealth startup dedicated to building innovative solutions that empower businesses and individuals. Our team is composed of creative and driven professionals who are committed to delivering excellence in the tech industry.

Job Description

We are seeking a passionate Software Engineer with a focus on Large Language Models (LLM) to join our team in Palo Alto, CA. As a Founding Engineer, you will play a pivotal role in shaping the future of our company's product, technical strategy, and culture. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to play a pivotal part in developing innovative AI solutions from the ground up.

Responsibilities
  • Design, develop, and maintain our own LLM stack.

  • Collaborate with cross-functional teams to integrate LLM into various products and services.

  • Stay up-to-date with the latest developments in artificial intelligence and machine learning.

  • Contribute to the entire software development lifecycle from concept to deployment and support.

  • Lead technical discussions and provide innovative solutions to complex problems.

Qualifications
  • Experience working with large language models.

  • Strong understanding of machine learning concepts and algorithms.

  • Proficiency in programming languages such as Python.

  • Experience with machine learning frameworks like TensorFlow or PyTorch.

  • Ability to work in a dynamic startup environment.

Preferred Skills
  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.

  • Experience with natural language processing and understanding.

  • Proven track record of shipping high-quality software products.

  • Familiarity with cloud services and infrastructure.

Why Join Aida?

As a Founding Software Engineer at Aida, you will have the unique opportunity to shape the future of AI and make a significant impact on the industry. We offer a collaborative culture, competitive compensation, and the chance to work with a talented team on exciting challenges.

How to Apply

If you're excited about this opportunity and meet the qualifications, we encourage you to apply. Please submit your resume for the Founding Engineer - LLM position at Aida.

Similar Jobs

2 Months Ago
In-Office
San Francisco, CA, USA
140K-220K Annually
Entry level
140K-220K Annually
Entry level
Artificial Intelligence • Gaming • Software
Own the infrastructure powering Pax Historia’s AI requests across 37+ models and multiple providers. Responsibilities include improving provider reliability, structured outputs, caching, routing, monitoring, cost efficiency, latency, and scalability for billions of monthly tokens. This founding engineer role requires strong fundamentals, attention to detail, data-driven decision-making, and rapid learning. The position is fully in-person in San Francisco and does not involve model training or self-hosted inference.
Top Skills: Ai Provider ApisCaching SystemsLlmMonitoring SystemsRouting SystemsStructured Outputs
47 Minutes Ago
Remote or Hybrid
United States
100K-145K Annually
Mid level
100K-145K Annually
Mid level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads third-party API integration initiatives from discovery through production launch. Translates business and partner needs into integration requirements, implementation plans, and delivery milestones. Coordinates API development, partner onboarding, operational readiness, governance, risks, and dependencies across internal teams, IT, vendors, and external partners. Serves as the primary contact for connectivity initiatives and ensures successful transition to ongoing support.
Top Skills: Ai ToolsAPIsHcm Platforms
47 Minutes Ago
Remote or Hybrid
United States
112K-149K Annually
Senior level
112K-149K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads AI and automation product strategy for disability and absence claims operations. Responsibilities include prioritizing AI opportunities, owning roadmaps, designing human-in-the-loop workflows, defining safeguards and success metrics, partnering with engineering, coaching Product Owners, managing delivery increments, and communicating operational impact to senior leadership.
Top Skills: Agentic Ai FrameworksAgileAnalyticsArtificial IntelligenceDecision-Support TechnologiesGenerative AiIntelligent AutomationMachine LearningRobotics

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account