Remote Senior LLM Engineer for Enterprise AI

Cognizant; Dover (DE); Remote; USD 81,000 - 142,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an LLM Engineer to design, build, optimize, and deploy enterprise-grade AI models including LLMs and SLMs. You will collaborate with data scientists, platform engineers, and product teams to deliver scalable, production-ready generative AI capabilities.

The role requires strong experience in model fine-tuning, evaluation, and ML deployment, with a focus on performance, cost, and governance across enterprise datasets and environments.

Qualifications

• 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline.
• 2+ years of hands-on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments.
• Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms.
• Strong understanding of model fine-tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies.
• Proficiency in machine learning development, model deployment, and MLOps best practices.
• Experience working with Python and modern AI/ML frameworks and tools.

Responsibilities

• Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases.
• Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines.
• Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency.
• Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements.
• Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI.

Skills

Software Engineering

AI Engineering

Machine Learning

Python

LLM Deployment

MLOps

Tools

Python

ML Frameworks

Cloud Platforms

Job description

Cognizant is seeking an LLM Engineer to design, build, optimize, and deploy enterprise-grade AI models including LLMs and SLMs. You will collaborate with data scientists, platform engineers, and product teams to deliver scalable, production-ready generative AI capabilities.

The role requires strong experience in model fine-tuning, evaluation, and ML deployment, with a focus on performance, cost, and governance across enterprise datasets and environments.