
Leading Artificial Intelligence Developer
2 weeks ago
We are focused on advancing AI from intriguing demos to indispensable products. As an AI Solutions Developer, you will design and develop reliable, self-improving systems that empower subject matter experts to automate their most complex, high-value work.
Key Responsibilities- Develop AI-Powered Solutions: Create products that are fully enabled by the capabilities of Large Language Models (LLMs) and other recent advancements in foundation models.
- High-Performance Search and Retrieval-Augmented Generation: Build and optimize our data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG).
- Evaluation Frameworks Development: Create robust frameworks to evaluate the performance of our agents, RAG systems, and various LLMs.
- 1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms.
- Strong background in either AI agents, data systems or machine learning engineering.
- Modern Python microservices with FastAPI, Ray.IO for distributed AI workloads, and Kubernetes orchestration - powering enterprise-scale AI agent execution with gRPC inter-service communication and Google Cloud Pub/Sub event streaming.
- AI Agent Stack: LlamaIndex, LangGraph, SmolAgent, Instructor, Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers - building sophisticated AI agent orchestration with tool coordination, vector search, and real-time data processing.
- Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases.
- Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm.
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Artificial Intelligence Developer Position
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AI/ML Expert: Developing Intelligent Systems
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