About the role
Responsibilities:
- Architect and implement advanced AI agent frameworks using LLMs (e. g. GPT, Claude, open-weight models).
- Design end-to-end systems and solutions that integrate planning, memory, retrieval, and tool usage within AI agents.
- Lead model evaluation, prompt engineering, fine-tuning, and RLHF efforts were necessary.
- Collaborate with product and engineering teams to translate AI capabilities into platform features.
- Partner with Sales, Product, and GTM to articulate AI strategy and solution architecture to enterprise clients.
- Participate in pre-sales meetings, technical deep-dives, and AI innovation workshops with C-level stakeholders.
- Translate customer needs into solution blueprints involving agents, LLMs, and AI workflows.
- Represent the company in conferences, webinars, and thought-leadership forums as an AI expert.
Requirements:
- PhD in Computer Science, Machine Learning, NLP, or related field.
- 7+ years of industry experience in AI/ML, with at least 2 years focused on LLMs and/or AI agents.
- Strong programming skills in Python and experience with frameworks such as LangChain, Transformers, Ray, or similar.
- Experience building production systems using LLMs (RAG, agentic workflows, orchestration, tool use, etc).
- Exceptional communication skills and a proven ability to present complex ideas to technical and non-technical audiences.
- Experience in client-facing roles or pre-sales technical advisory.
- Experience with enterprise AI deployment (e. g., compliance, privacy, scalability).
- Publications or public talks in AI, NLP, or agentic systems.
- Contributions to open-source LLM/agentic frameworks.