Artificial Intelligence Engineer
| 1. | Senior Agentic Engineer (MGT Insurance) Madison, Wisconsin, United States+1 | $160,000 – $220,000/yr | hybrid | full-time | senior | ai agents, llms, autonomous system architectures | 1mo ago |
| 2. | Design Engineer (Ramp) San Francisco, California, United States | $172,000 – $440,000/yr | hybrid | full-time | mid | react, typescript, javascript | 1mo ago |
| 3. | Associate, AI (Interplay) New York, New York, United States | hybrid | full-time | entry | openai, anthropic, gemini | 1mo ago |
| 4. | Senior Staff ML Engineer (Typeface) Palo Alto, California, United States | $200,000 – $247,000/yr | hybrid | full-time | senior | machine learning, generative ai, python | 1mo ago |
| 5. | Massachusetts, United States | $140,000 – $180,000/yr | hybrid | full-time | lead | computational geometry, full-stack development, cad/cam | 1mo ago |
| 6. | Senior FullStack Engineer (Kanmon) United States+1 | hybrid | full-time | senior | react, next.js, nestjs | 1mo ago |
| 7. | Boston, Massachusetts, United States | $160,000 – $250,000/yr | hybrid | full-time | senior | linux kernel driver, schematic, embedded linux | 1mo ago |
| 8. | Engineering, GTM (AirOps) San Francisco, United States+2 | hybrid | full-time | mid | llm, rag, python | 1mo ago |
| 9. | Founding Lead AI Engineer (Harnham) San Francisco, California, United States | $250,000 – $300,000/yr | hybrid | full-time | lead | llm, langchain, onnx | 1mo ago |
| 10. | AI Founding Engineer (Supply Veins (Techstars '24)) California, United States+1 | hybrid | full-time | entry | neural networks, pattern recognition, natural language processing | 1mo ago |
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.
Requirements:
- 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.
It’s a Bonus If You Have:
- 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.
The Benefits:
- 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
This is a rare opportunity to join an ambitious fintech SaaS startup at a pivotal stage of growth, where your work will directly shape the company’s AI capabilities and long-term success.
Apply now or drop me a message for more details! 🚀