AI Engineer

3 weeks ago

Stanford, United States PANGEA Corporation Full time
About Us:

At Pangea, we're on a mission to empower app developers around the globe We've built a game-changing developer platform that allows seamless leverage of fundamental security features every app needs through RESTful APIs. But we're not just about great developer APIs - we're about building a thriving community of talented developers who collaborate, share, and grow together.

And that's where you come in

We are looking for a talented professional to define and develop AI-powered applications that leverage the latest advancements in generative AI. In this role, you will collaborate closely with executives, leaders, and cross-functional teams, including application developers and product managers, to ensure that application features align seamlessly with the product roadmap. If you collaborate closely with executives, leaders, and cross-functional teams, to ensure that application features align seamlessly with the product roadmap, we want to meet you

Key Responsibilities:
  • Design, develop, and support machine learning platforms, services, and frameworks.
  • Apply expertise in large language models (LLMs) with a strong product-focused approach.
  • Work collaboratively with cross-functional partners to deliver AI-driven applications in alignment with strategic goals.
  • Stay current with advancements in AI and machine learning, integrating new techniques into applications as appropriate.
Key Qualifications:
  • Proven experience in designing, building, and supporting machine learning platforms, services, and frameworks in a real-world industry setting.
  • Strong knowledge and experience with large language models (LLMs) and related frameworks like LangChain and LLamaIndex.
  • Expertise in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
  • Familiarity with embedding techniques, retrieval algorithms, agents, and data modeling for vector development graphs.
  • Strong understanding of software engineering principles, including data structures, algorithms, concurrency, multi-threading, and design patterns.
  • Ability to debug and employ analytical methodologies effectively.
  • Excellent communication skills, with the ability to translate complex technical concepts for a non-technical audience.
  • Highly self-directed and detail-oriented, with a proven ability to develop well-thought-out design proposals and conduct thorough analyses of production issues.
  • Proficiency in programming languages such as Python, Java, JavaScript, or Go.
  • Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
Education & Experience:
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

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