Senior LLM Engineer – Generative AI

Company Overview

Not specified

Job Summary

The client is seeking experienced Senior LLM Engineers to join its Generative AI Delivery Organization. In this highly technical, hands-on role, you will be responsible for developing cutting-edge AI systems for Fortune 500 clients. You will contribute to innovative projects including multi-agent LLM solutions, Retrieval-Augmented Generation (RAG) pipelines, and open-source LLM deployments. Your expertise in machine learning, Python development, and modern LLM frameworks such as LangChain and LangGraph will drive strategic AI initiatives and enhance the company’s competitive edge in the evolving AI landscape.

Responsibilities

• LLM Development: Design, train, fine-tune, and deploy LLM-based systems utilizing prompt engineering, RAG techniques, and agent-based architectures.
• Codebase Ownership: Write and maintain high-quality, efficient, and scalable Python and SQL code, leveraging frameworks like LangChain and LangGraph.
• Cloud Deployment: Assist in the deployment and optimization of GenAI solutions across Azure, GCP, or AWS, ensuring a cost-effective and high-performance infrastructure.
• Cross-functional Collaboration: Engage with product managers, data scientists, and business SMEs to translate functional requirements into scalable AI solutions.
• Team Leadership & Mentorship: Provide technical guidance and mentorship to engineering peers, fostering best practices and knowledge sharing.
• Innovation: Continuously evaluate advancements in LLMs and Generative AI and incorporate new techniques into projects.

Qualifications

• Experience: 5+ years of professional experience in building machine learning models and systems, with 1+ years focused on LLMs and Generative AI.
• Technical Skills:
  • Expertise in prompt engineering
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques
  • Experience with agent-based LLM systems
  • Advanced programming skills in Python
  • Familiarity with frameworks such as LangChain and LangGraph
  • Proficient in SQL
• Cloud Platforms: Familiarity with cloud platforms including Azure, GCP, or AWS.
• Team Contribution: Proven experience in contributing to or driving a technical roadmap within an engineering organization.
• Communication: Excellent communication skills to effectively collaborate with cross-functional stakeholders and business SMEs.
• Educational Qualifications: Relevant degree in Computer Science, Engineering, Data Science, or a related field (BTech, BSc, MTech, or higher preferred).

Preferred Skills

• Demonstrated ability to innovate and implement new AI techniques.
• Prior experience with deploying and optimizing machine learning solutions in production environments.
• Familiarity with open-source LLM deployments and community-driven projects.

Experience

• 5 – 9 years of professional experience in machine learning and AI development.
• A minimum of 1 year of hands-on experience specifically with LLMs and Generative AI initiatives.

Environment

• The work setting details like location, type (remote, in-office, hybrid), and other physical conditions are Not specified. Candidates should be prepared to work closely with cross-functional teams and contribute effectively in a collaborative technical environment.

Salary

Not specified

GrowthOpportunities

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Benefits

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