Software Engineer, AI Engineer, Cloud Engineer - Software

This range is provided by People In AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr – $/yr

Direct message the job poster from People In AI

Compensation: $170,000–$310,000 base + equity

(compensation varies on level of experience)

We are partnering with a fast‑growing, VC‑backed SaaS company that is rebuilding a core product around AI. This is a software engineering role for someone who wants to work deeply with modern AI systems while staying grounded in strong engineering fundamentals.

The product operates in a complex, document‑heavy, high‑trust domain where correctness, reliability, and explainability matter. AI is not a side project here. It is becoming central to how the product works and how customers get value.

As an AI Software Engineer, you will build and own AI‑powered product features end to end. This includes designing backend systems that integrate LLMs, retrieval systems, and business logic into reliable, production‑grade workflows used by real customers.

This role is ideal for engineers who:

• Think like software engineers first
• Are already integrating LLMs via APIs or want to move deeper into applied AI
• Care about shipping, reliability, and real‑world impact

• Build and ship AI‑powered features embedded directly into the core product
• Integrate LLM APIs into backend systems for document understanding, reasoning, and automation
• Design and operate retrieval‑augmented generation (RAG) pipelines over proprietary data
• Own systems in production, including monitoring, evaluation, and iteration
• Work closely with product and design partners to turn real user problems into shipped solutions
• Balance fast iteration with long‑term maintainability and system health

• Strong software engineering fundamentals and experience shipping production systems
• Experience building backend services (APIs, distributed systems, data‑backed applications)
• Hands‑on experience integrating external APIs, ideally LLM APIs (OpenAI, Anthropic, Bedrock, etc.)
• Comfort working across the full lifecycle of a feature, from prototype to production
• An ownership mindset and good product judgment

• Experience with RAG, embeddings, or vector databases
• Working with unstructured data such as PDFs or documents
• Exposure to AI evaluation, monitoring, or guardrails
• Experience in regulated or high‑trust domains

• AI is core to the product, not an experiment
• Real customers, real usage, real impact
• Strong engineering culture with high ownership
• Competitive compensation and meaningful equity
• Hybrid environment with a preference for in‑person collaboration in San Francisco

People in AI is a specialized recruiting firm partnering exclusively with high‑growth AI companies. We work closely with engineering leadership to provide candidates with real context on the role, team, and expectations, helping you decide if an opportunity is truly the right fit.

• Associate

• Full‑time

• Engineering and Production

• Financial Services and Software Development