Product Engineer

Overview

Senior AI Product Engineer building full-stack AI-driven features

Key Responsibilities

• cloud deployment
• full-stack
• llm integration
• rag pipelines
• agentic automation
• team collaboration

Tasks

The Senior AI Product Engineer will own full-stack development for AI-powered features and infrastructure. This includes LLM integrations, agentic workflows, RAG systems, and customer-facing applications that scale to thousands or millions of users. -Deploy and maintain high-performance systems using AWS/GCP and containerized environments. -Build and ship full-stack features using React/TypeScript and Python/Node. -Collaborate directly with founders, product, and ML teams to shape roadmap and architecture. -Drive rapid experimentation, continuous iteration, and production readiness. -Design and implement LLM integrations, RAG pipelines, and agentic automation.

Requirements

• llm
• python
• node.js
• full‑stack
• problem‑solving
• founding

What You Bring

-Experience in high-growth startups or fast-paced engineering environments. -Hands-on LLM experience (OpenAI/Anthropic APIs, LangChain, vector DBs, embeddings, etc.) -Experience building agentic workflows, retrieval systems, or generative AI features. -Backend: Python (FastAPI/Flask), Node.js, REST/GraphQL -Proven ability to work autonomously and execute at speed. -Must overlap with Pacific Time working hours -Experience as an early or founding engineer. -San Francisco Bay Area strongly preferred -US-based remote candidates will be considered -Strong full-stack engineering background: -Background at high-caliber engineering orgs (e.g., Perplexity, Scale AI, Anthropic, Stripe, Shopify, AWS). -Strong problem-solving ability, ownership mindset, and product intuition. -Demonstrated success shipping AI-powered or ML-driven products (not only research).

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Benefits

-$170,000 – $230,000 base salary -Competitive equity packages depending on stage and scope

About Key Talent Solutions

-They craft strategic pairings of individual talent to organisational needs, specializing in data & analytics, finance, and strategy projects. -Typical assignments include placing senior analysts, finance leaders, and strategic consultants across diverse sectors. -Their boutique size allows for deeply personalised service and agility on high-impact mandates. -They’ve carved a niche by focusing on quality of fit and advisory-led recruitment, not just resume matching.

Sector Specialisms