Python
Amazon Web Services (AWS)Role Title: Senior LLM Engineer - GenAI / ML (Python, Langchain)
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 Al (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 GenAl-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 GenAl solutions.
Key Responsibilities
GenAl System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines.
·
Al Solution Delivery: Translate complex business requirements into scalable, production-ready Al solutions.
Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align Al 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 Al.
• Strong proficiency in Python, LangChain, and SQL.
·
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/GenAl-focused implementations.
· Experience delivering ML/AI products from prototyping through to production.
• Familiarity with MLOps, CI/CD, containerization, and scalable Al model deployment.
Shubham Vishwakarma
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About QAgile Services
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At Qagile Services, we are dedicated to empowering businesses through cutting-edge IT solutions and unparalleled staffing services. Our mission is to bridge the gap between technology and talent, ensuring that your organization has the resources it needs to thrive in a rapidly evolving digital landscape.
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