SR. LLM Engineer(NCS/Job/ 1526)

Role Overview
We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3–4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools.
The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions.
Key Responsibilities
● GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines.
● Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems.
● Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives.
● AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions.
● Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases.
● System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models.
Required Skills
● 7–12 years of total experience in ML/Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI.
● Strong proficiency in Python, LangChain, and SQL.
● Deep understanding of LLM concepts including:
○ Prompt tuning
○ Embeddings EMB Global | www.emb.global
○ Vector databases (e.g., FAISS, Pinecone)
○ Agent frameworks
● Experience working with cloud platforms such as AWS, Azure, or GCP.
● Solid understanding of ML pipelines, deployment strategies, and GenAI use cases.
● Ability to work independently and collaboratively in fast-paced, cross-functional environments.
● Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders.
Preferred Qualifications
● Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations.
● Experience delivering ML/AI products from prototyping through to production.
● Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment.
● Prior involvement in client-facing projects or cross-functional teams building production-ready AI systems.