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Senior Artificial Intelligence Engineer
Change Recruitment
2 hours ago
Full-time
On-site
San Francisco, California, United States
Agentic AI | LLM Engineering | Production AI
Join a fast-growing San Francisco AI company building an AI product that uses autonomous agents to understand problems, make decisions and complete complex business workflows end-to-end.
We're open to two types of great AI engineer: someone who wants to build the core AI product internally , or someone who thrives closer to customers as a Forward Deployed AI Engineer , taking real-world problems from discovery through to production.
What you could be building Depending on your background, you'll work across:
Production Agentic AI and multi-agent systems
LLM applications using OpenAI, Anthropic, Gemini and open-source models
Agents with memory, reasoning, tool use and decision‑making
RAG, retrieval and knowledge systems
AI evaluation, guardrails and observability
Python APIs and backend AI infrastructure
Systems optimised for scale, latency, reliability and cost
Taking AI solutions from prototype → production
For Forward Deployed Engineers, you'll also work directly with customers to understand complex problems, rapidly build solutions and deploy AI into real production environments.
For internal AI Engineers, you'll go deeper into the core platform, agent architecture, AI infrastructure and product capabilities used across the business.
What we’re looking for We're looking for strong Senior / Staff-level AI Engineers who have actually built and shipped AI.
Strong Python / software engineering
Hands‑on LLM / Generative AI experience
Experience with agents, RAG, tool calling or AI workflows
Strong production and cloud engineering knowledge
Comfortable taking ownership of technically difficult problems
Experience with technologies such as LangGraph, Temporal, Kubernetes, vector databases or distributed systems is a bonus
You don't need to come from an FDE background . You could be an AI Engineer, ML Engineer, Applied AI Engineer, or Forward Deployed Engineer.
What matters is that you've built real AI systems and shipped them into production.
AI research, learning & conference allowance
Catered lunches & office perks
Budget to experiment with the latest models and AI tooling
Progression into Staff, Principal or Engineering Leadership
If you're a strong AI engineer who wants to work on production Agentic AI whether that's deep inside the core product or embedded with customers solving difficult problems we'd be interested in speaking.
#J-18808-Ljbffr
Join a fast-growing San Francisco AI company building an AI product that uses autonomous agents to understand problems, make decisions and complete complex business workflows end-to-end.
We're open to two types of great AI engineer: someone who wants to build the core AI product internally , or someone who thrives closer to customers as a Forward Deployed AI Engineer , taking real-world problems from discovery through to production.
What you could be building Depending on your background, you'll work across:
Production Agentic AI and multi-agent systems
LLM applications using OpenAI, Anthropic, Gemini and open-source models
Agents with memory, reasoning, tool use and decision‑making
RAG, retrieval and knowledge systems
AI evaluation, guardrails and observability
Python APIs and backend AI infrastructure
Systems optimised for scale, latency, reliability and cost
Taking AI solutions from prototype → production
For Forward Deployed Engineers, you'll also work directly with customers to understand complex problems, rapidly build solutions and deploy AI into real production environments.
For internal AI Engineers, you'll go deeper into the core platform, agent architecture, AI infrastructure and product capabilities used across the business.
What we’re looking for We're looking for strong Senior / Staff-level AI Engineers who have actually built and shipped AI.
Strong Python / software engineering
Hands‑on LLM / Generative AI experience
Experience with agents, RAG, tool calling or AI workflows
Strong production and cloud engineering knowledge
Comfortable taking ownership of technically difficult problems
Experience with technologies such as LangGraph, Temporal, Kubernetes, vector databases or distributed systems is a bonus
You don't need to come from an FDE background . You could be an AI Engineer, ML Engineer, Applied AI Engineer, or Forward Deployed Engineer.
What matters is that you've built real AI systems and shipped them into production.
AI research, learning & conference allowance
Catered lunches & office perks
Budget to experiment with the latest models and AI tooling
Progression into Staff, Principal or Engineering Leadership
If you're a strong AI engineer who wants to work on production Agentic AI whether that's deep inside the core product or embedded with customers solving difficult problems we'd be interested in speaking.
#J-18808-Ljbffr