Artificial Intelligence Engineer
Listed on 2026-06-17
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, AI Reliability/ Performance Engineer
Role:
Lead AI Engineer
Location: San Francisco, CA (Hybrid)
Salary: $200k - $225k (DOE)
Are you passionate about building cutting‑edge AI systems that solve real‑world problems? Join a fast‑growing fintech SaaS startup based in San Francisco that is leveraging advanced AI to transform how financial platforms operate, automate workflows, and deliver intelligent decision‑making at scale.
We’re looking for a Lead AI Engineer who can combine deep AI expertise with strong software engineering skills to lead the development of next‑generation AI‑powered products. This is a high‑impact role where you’ll help shape the company’s AI strategy, architect intelligent systems, and mentor a growing engineering team.
If you enjoy working with frontier AI technologies, building scalable systems, and operating in a fast‑moving startup environment — this role is for you.
Your Responsibilities- Lead the design and development of AI‑powered applications and intelligent automation systems
. - Architect and implement solutions leveraging LLMs, Retrieval‑Augmented Generation (RAG), NLP, and agentic AI workflows
. - Build scalable backend services and AI infrastructure using Python and Go
. - Develop and optimize AI pipelines, orchestration layers, and model evaluation frameworks.
- Deploy and manage AI systems within AWS cloud environments
. - Collaborate closely with product, engineering, and leadership teams to translate business needs into AI‑driven solutions.
- Mentor and support junior AI and software engineers
, providing technical leadership, guidance, and code reviews. - Drive AI best practices across experimentation, deployment, monitoring, and performance optimization.
- Stay ahead of emerging AI technologies and identify opportunities to integrate them into the platform.
- Proven experience in a Lead AI Engineer, Senior AI Engineer, or Machine Learning Engineering role
. - Strong proficiency in Python and Go
. - Hands‑on experience building systems with LLMs, RAG pipelines, NLP, and AI agentic workflows
. - Strong experience with AWS cloud infrastructure and deploying AI systems into production.
- Experience designing scalable AI architectures and backend systems.
- Previous experience managing or mentoring junior engineers
. - Strong understanding of machine learning systems, APIs, distributed systems, and software engineering best practices.
- Ability to thrive in a fast‑paced startup environment with evolving priorities.
- Excellent communication and leadership skills.
- Experience working within fintech, SaaS, or startup environments
. - Exposure to vector databases, embeddings, and orchestration frameworks.
- Experience building AI‑powered automation tools or internal AI platforms.
- Familiarity with MLOps, CI/CD pipelines, and infrastructure‑as‑code.
- Competitive salary and equity opportunities
- Hybrid working model in San Francisco
- Opportunity to shape the future of AI within a rapidly scaling fintech company
- High ownership and influence over technical and AI strategy
- Collaborative, innovative, and fast‑moving startup culture
- Career progression opportunities as the AI team grows
- Comprehensive benefits package and flexible PTO
Apply now or drop me a message for more details!
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