Staff AI Engineer - Applied AI (Remote)
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
About the job
Required Qualifications
- 8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment)
- 5+ years of deep experience in Python and 2+ years with at least one backend language (JavaScript, TypeScript, Java, or Go)
- Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)
- Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.
- Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus).
- Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.
- Strong and effective communication skills.
- Bachelor’s degree or above in Machine Learning, or related field.
Preferred Qualifications
- 5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems.
- Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)
- Familiarity with human-in-the-loop systems and clinical decision support frameworks.
- Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.
- Experience working in a highly regulated industry such as finance or healthcare
- Experience contributing to early-stage team growth (0 → 1)
Skills
Python, JavaScript, TypeScript, Java, Go, OpenAI, Anthropic, LangChain, Llamaindex, Dspy, Pinecone, Weaviate, Faiss, AWS, GCP
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