Software Engineer - Platform / Applied AI (Full-Stack)

JeffreyM Consulting • San Francisco, CA

17h • Onsite

About The Position

The Software Engineer will own core platform and data infrastructure alongside the founding team. The role spans full-stack product surfaces, desktop data-capture workflows, high-throughput pipelines, and foundational architecture. The engineer will have direct access to the founders and substantial responsibility for decisions that shape the growing engineering team. The position is full-time and in person in San Francisco, California.

Requirements

• Full-stack JavaScript/Next.js and Python application development experience.
• Strong coding fundamentals in Node.js/TypeScript, Python, and/or Go.
• Experience with serverless architecture and cloud functions for substantial data processing on AWS or GCP.
• Experience with distributed systems, scalability, and system design, with the ability to reason clearly about technical trade-offs.
• Hands-on experience with Redis caching, Elasticsearch indexing, and Kafka, RabbitMQ, or comparable message queues.
• Familiarity with Kubernetes, APIs, and NoSQL databases.
• Evidence of personally getting ideas into production.
• Willingness to work the intense hours described in the hiring brief.

Nice To Haves

• AI research, LLM evaluation, or human-in-the-loop systems experience.
• Experience with AI agents or reinforcement-learning environments.
• Founder or early engineering experience.
• An active GitHub showing sustained building.
• Ownership of production systems with measurable reliability or throughput results.
• Experience with both user-facing software and demanding data infrastructure.
• Proactive decision-making in ambiguous, fast-moving startup work.
• Motivation to work in AI operations and at an early-stage company.

Responsibilities

• Build and scale data-capture workflows across Next.js web applications and Python desktop systems.
• Improve reliability, throughput, and performance under heavy production loads.
• Architect data pipelines and make greenfield decisions about storage, caching, search, and message queues.
• Establish engineering practices and scalable system patterns.
• Work directly with the founders on product strategy and ship features quickly.
• Take ideas from design through production while balancing delivery speed with reliability.

Benefits

• Equity grant vesting over four years.
• Health insurance.
• Covered daily lunch and dinner.
• Gym membership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed