USAAI Engineer
1 мес. назад
130k–180k USD / yearUSA
llm
Build and ship agentic AI systems core to 's AI-native investment platform.
Требования
- 3 or more years of professional experience in software or AI engineering.
- Strong hands-on coding experience in Python and backend systems.
- Practical familiarity with modern AI/ML tools — working with LLM APIs (e.g., OpenAI, Claude) and ML libraries.
- Experience integrating models or AI systems into production applications.
- Experience with vector stores, indexing, or retrieval systems.
- Familiarity with frameworks like LangChain, AutoGen, or similar agent tools.
- Exposure to cloud environments (AWS, GCP) and CI/CD pipelines.
- Comfortable writing maintainable, scalable code and collaborating with backend and full-stack engineers.
- Strong communication skills and team mindset.
Будет плюсом
- Experience with evaluation tooling or building quality metrics for generative systems.
- Enjoy writing or creating content around AI and what we are building at .
- Love for consumer or investing apps.
- Previous experience working at a fintech or in another regulated domain.
Условия
- Work on real AI engineering problems — not research prototypes — that impact a live fintech product.
- Build with a small, mission-driven team with direct access to founders.
- Competitive compensation with significant equity participation in a fast-growing early-stage startup.
Другое
- is an AI-native investment platform giving accredited investors access to pre-IPO and alternative assets — with intelligent systems that don’t just surface data, but reason, act, and iterate .
- We’re building agentic AI that can analyze complex financial inputs, orchestrate multi-step workflows, and continuously improve through feedback. This is not a research lab or a slow enterprise environment. We move fast, ship constantly, and expect engineers to think like builders and product owners.
- As an AI Engineer , you’ll help build and ship agentic AI systems that sit at the core of the product. You won’t be handed perfectly scoped tickets — you’ll help define what should be built, how it should behave, and why it matters to users.
- This role is for engineers who:
- Care deeply about product outcomes , not just models
- Take ownership end-to-end
- Thrive in high-expectation, high-autonomy environments
- Want to work on AI systems that actually run in production and make decisions.
- You’ll work closely with our entire team, but you’re expected to operate independently, move fast, and push ideas forward.
- You’ll be a key contributor to building robust AI systems, RAG workflows, and scalable backend services that make ’s intelligent features reliable and impactful in real-world settings.
- Build and iterate on agentic AI workflows that reason across data, tools, and actions.
- Design and implement LLM-powered systems that go beyond single prompts (multi-step planning, tool use, memory, feedback loops).
- Ship production-grade AI features — not demos — that real users rely on.
- Own meaningful parts of the product lifecycle: idea → design → build → launch → iterate.
- Partner directly with product and design to shape how AI features behave in the real world.
- Implement and improve RAG pipelines , evaluations, and reliability mechanisms.
- Monitor live AI systems, debug failures, and continuously raise quality.
- Move quickly with imperfect information — making good tradeoffs instead of waiting for perfect specs.
- Stay current with recent AI/ML tools and frameworks — particularly around LLM ecosystems and agent frameworks.