Responsibilities
- Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
- Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
- Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
- Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.
Requirements
- 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.
- Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation
- Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction
- Experience with vector or graph databases
- Experience with document chunking, embedding models, and context window optimization
- Familiarity with metadata-based retrieval and re-ranking strategies
- Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency)
- Familiarity with data security, versioning, and MLOps principles
Nice to Have
- Experience with enterprise AI applications with strict compliance, audit, or legal requirements
- Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements.
- Experience with multi-modal search
- Experience with graph based recommendation systems, such as graph NN.
- Experience with developing AI applications powered by agent-based systems
- Experience with packaging, CI/CD and pipeline automation.
Benefits
- Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being.
- Retirement Planning: We offer a 401(k) plan to help you plan for your future.
- Learning & Development: We provide an annual education budget and a comprehensive L&D program.
- Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
- Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.
Additional Information
- We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and 'taste the soup' by diving deep into experiences to create the best outcomes for our colleagues and clients.
