Principal Engineer - Artificial Intelligence/Machine Learning

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.