Remote Enterprise LLM/SLM Engineer

Cognizant; Lansing (MI); Remote; USD 81,000 - 142,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an LLM Engineer to design, build, optimize, and deploy LLM/SLM solutions powering the enterprise Agent Factory. You will work with data scientists, platform engineers, product teams, and stakeholders to deliver scalable generative AI capabilities.

Remote position open to qualified applicants; strong collaboration and responsible AI practices are essential. Competitive salary with discretionary incentive plan and comprehensive benefits.

Qualifications

• 7+ years of experience in Software/AI Engineering or related field.
• 2+ years hands-on experience deploying Generative AI/LLM solutions in production.
• Experience building enterprise AI applications with LLMs, RAG, prompts, APIs, and cloud or on-premises platforms.
• Strong understanding of fine-tuning, evaluation frameworks, and AI quality metrics.
• Proficient in Python and modern 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 model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression.
• Assess foundation models based on quality, cost, scalability, and operations.
• Collaborate with cross-functional teams to support domain-specific AI solutions using enterprise data and responsible AI practices.

Skills

Python

ML frameworks

MLOps

Generative AI

Cloud platforms

Tools

LoRA/QLoRA

RAG pipelines

Vector databases

Embeddings

Job description

Cognizant is seeking an LLM Engineer to design, build, optimize, and deploy LLM/SLM solutions powering the enterprise Agent Factory. You will work with data scientists, platform engineers, product teams, and stakeholders to deliver scalable generative AI capabilities.

Remote position open to qualified applicants; strong collaboration and responsible AI practices are essential. Competitive salary with discretionary incentive plan and comprehensive benefits.