
Reliable AI Solutions Developer
1 week ago
We are seeking a seasoned Ai Specialist to play a pivotal role in developing cutting-edge, reliable systems that empower subject matter experts to automate their most complex, high-value work.
- Building Innovative AI Products: Develop and integrate Large Language Models (LLMs) and other recent advancements in foundation models. You will evaluate emerging techniques and assimilate them into our production systems.
- High-Performance Search and Retrieval-Augmented Generation: Design and optimize data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG).
- Evaluation Frameworks Development: Create robust frameworks to assess the performance of our agents, RAG systems, and various LLMs. We take a polyglot approach to working with LLMs, with a strong preference for getting workloads running on open-source models.
Key Qualifications and Experience:
- 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.
- Experience with modern Python microservices, 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.
Our Team:
We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation.
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