Job Description
As a Principal AI Engineer, you will lead the technical design and development of AI agent systems and LLM-powered capabilities. This role involves architecting scalable, production-ready AI components and guiding enterprise customers as a thought leader in pre-sales, executive briefings, and AI strategy workshops. You will operate at the intersection of applied research, systems design, and strategic customer engagement, translating AI capabilities into platform features and solution blueprints.
Good To Have:
- 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.
Must Have:
- Architect and implement advanced AI agent frameworks using LLMs.
- Design end-to-end systems integrating planning, memory, retrieval, and tool usage within AI agents.
- Lead model evaluation, prompt engineering, fine-tuning, and RLHF efforts.
- 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.
- 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.
Perks:
- Comprehensive health plans
- Leading well-being programs
- Financial protection for you and your family
- Daily meditation breaks
- Virtual fitness
- Continuous learning opportunities with LinkedIn Learning
Job Description
As Principal AI Engineer, you will lead the technical design and development of AI agent systems and LLM-powered capabilities. You’ll operate at the intersection of applied research, systems design, and strategic customer engagement. While your day job includes architecting scalable, production-ready AI components, your role also spans into guiding enterprise customers—serving as a thought leader in pre-sales, executive briefings, and AI strategy workshops.
Key Responsibilities:
Technical Leadership
- 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 where necessary.
- Collaborate with product and engineering teams to translate AI capabilities into platform features.
Customer & Pre-Sales Engagement
- 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:
Must-Have
- 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.
Nice-to-Have
- 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.
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