Principal Engineer - AI / ML

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.

Skills

AI agents, rag, AI, java, large language models, LLM, LLMs, machine learning, ML, node, Python, TypeScript