Lead teams in charge of end-to-end development of Conversational AI Agents, from ideation and prompt engineering to production deployment and evaluation
Partner with Product to identify high-impact AI Agent and Chatbot opportunities for workflow automation
Educate the organization on LLM capabilities and trade-offs (latency, cost) to drive superior customer experiences
Oversee data curation, knowledge base construction, and feedback loops essential for successful RAG pipelines
Implement scalable LLMOps frameworks for supporting, evaluating, and securing agent deployments
Research and apply advanced techniques (multi-agent systems, function calling, fine-tuning) to enhance agent capabilities
Align with Engineering and Product leadership on roadmaps to ensure timely delivery of robust production agents
Stay abreast of GenAI trends and integrate new architectures to advance organizational goals
Design and scale a high-velocity AI Engineering organization, focusing on leadership development, organizational culture, and global talent acquisition strategies to sustain rapid growth

Requirements

MS/Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a similar quantitative discipline required
5+ years of experience in ML or AI engineering leadership roles, specifically managing teams shipping production software
Hands-on knowledge of modern NLP, Large Language Models (LLMs), Transformer architectures, RAG pipelines, and Agentic workflows (planning, reasoning, tool use)
Expertise in vector databases, knowledge graphs, and SQL; experience with handling unstructured text data at scale
Strong coding experience in Python (required), with familiarity with modern AI frameworks (e.g., LangChain, LlamaIndex, PyTorch, Hugging Face)
Great communication skills, including the ability to communicate complex AI concepts (like hallucinations or context windows) to business stakeholders
Demonstrated ability to adapt to new technologies and learn quickly in the fast-paced Generative AI landscape
Strong written and presentation communication skills.

Benefits

Flexible time off with ample learning and development opportunities
Comprehensive onboarding program
Leadership training for Titans at all levels
Bonusly rewards and peer-nominated awards
Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents)
FSA and HSA
401k match
Telehealth options including memberships to One Medical
Parental leave and support
Up to $20k in fertility services (i.e. IUI and IVF)
Surrogacy and adoption reimbursement
On demand maternity support through Maven Maternity
Free breast milk shipping through Maven Milk
Pet insurance
Legal advisory services
Financial planning tools

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Conversational AIprompt engineeringLLM capabilitiesdata curationRAG pipelinesLLMOps frameworksmulti-agent systemsfine-tuningNLPPython

leadership developmentorganizational culturecommunication skillsadaptabilitypresentation skills

MS in Computer SciencePh.D. in Artificial IntelligencePh.D. in Computational Linguistics