Founding AI Engineer

SA Technologies, Inc.

$150K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of professional software engineering experience with production systems.
  • Proficient in Python; familiarity with TypeScript, Go, Java, or C++ is a plus.
  • Strong background in backend engineering, API design, databases, and cloud systems.
  • Hands-on experience in building LLMs, Generative AI, and AI-powered applications.
  • Proven track record of bringing complex systems from concept to production.
  • Exceptional problem-solving and debugging skills.
  • Comfortable in an early-stage startup environment.

Responsibilities

  • Design and own core AI platform capabilities from inception.
  • Develop production-grade applications leveraging Python and modern backend technologies.
  • Build and optimize LLM-powered applications and AI workflows.
  • Design scalable APIs and distributed systems.
  • Integrate AI models into reliable production applications.
  • Establish monitoring and reliability mechanisms for AI systems.
  • Rapidly prototype ideas and transition successful prototypes to production.

Benefits

  • Full-time employment with a flexible work model (onsite/hybrid).
  • Opportunity to work closely with founding team and small engineering group.
  • Engage in a hands-on, fast-paced startup environment.
  • Emphasis on ownership and influence over technical direction.
Full Job Description
Job Description

1. Founding AI Engineer / Member of Technical Staff

Job Title: Founding AI Engineer / Member of Technical Staff (MTS)

Location: San Francisco Bay Area, CA

Employment Type: Full-Time

Work Model: Onsite / Hybrid

Job Summary

We are hiring an exceptional Founding AI Engineer / Member of Technical Staff to join an early-stage AI technology company building production-grade AI products from the ground up.

This is a highly hands-on engineering role for someone who enjoys working in a fast-moving startup environment, solving ambiguous technical problems, and taking complete ownership from architecture and prototyping through production deployment.

The ideal candidate combines strong software engineering fundamentals, backend/distributed systems expertise, and hands-on experience building production AI/LLM applications.

Responsibilities
  • Design, build, and own core AI product and platform capabilities from 0→1.
  • Develop production-grade applications using Python and modern backend technologies.
  • Build and optimize LLM-powered applications, agents, RAG/retrieval systems, and AI workflows.
  • Design scalable APIs, services, data pipelines, and distributed/backend systems.
  • Integrate foundation models and AI services into reliable production applications.
  • Build evaluation, monitoring, observability, and reliability mechanisms for AI systems.
  • Rapidly prototype new ideas and convert successful prototypes into production systems.
  • Work closely with founders and a small engineering team on architecture and product decisions.
  • Own projects end-to-end with limited structure or supervision.
  • Help establish engineering standards and technical direction as the organization scales.
Required Qualifications
  • Strong professional software engineering experience with demonstrated ownership of production systems.
  • Excellent programming skills in Python; experience with TypeScript, Go, Java, or C++ is beneficial.
  • Strong backend engineering, APIs, databases, cloud infrastructure, and system-design fundamentals.
  • Hands-on experience with LLMs, Generative AI, RAG, agents, inference, or AI-powered applications.
  • Experience taking complex products or systems from concept/prototype into production.
  • Strong debugging and problem-solving abilities.
  • Comfortable operating in an early-stage / startup / 0→1 environment.
  • Strong Computer Science, Engineering, Mathematics, AI/ML, or related academic foundation.
Highly Preferred
  • Previous founding engineer or early engineering-team experience.
  • Experience at a high-growth technology or AI company.
  • Experience with distributed systems and high-scale production infrastructure.
  • LLM evaluation, retrieval, embeddings, knowledge graphs, agentic workflows, or model-serving experience.
  • Demonstrated technical leadership without moving away from hands-on coding.


Have queries? We're here to assist you! Chat live with our recruiter or connect with the job owner directly:
Email:[email protected]

Embark on a rewarding journey together with us! At SA Technologies Inc., your journey begins with a friendly technical assessment, providing a stage to highlight your unique skills.

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