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Principal AI/ML Engineer

7 - 9 years

0 Lacs

gurugram haryana india

Posted:3 weeks ago| Platform: Foundit logo

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Skills Required

langchain agentic workflows llms rag transformers ray

Work Mode

On-site

Job Type

Full Time

Job Description

As Principal AI/ML 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 customersserving 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.
  • 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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