Gen AI Engineer: LLMs, Agents & Enterprise Copilots

Infosys Limited; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Disability benefits

Health reimbursement accounts

Insurance (multiple)

401(k) plan

Job summary

Infosys Limited in Tampa, FL is seeking a Data Science Consultant 1 to advance generative AI initiatives within the DNA unit. You will work on data extraction, model development, and deployment of analytics tools supporting business insights and decision-making.

The role emphasizes collaboration with business and technology teams, hands-on ML model development, and documentation for reproducibility in a fast-paced, learning-driven environment.

Qualifications

• Experience with Generative AI and Large Language Models (LLMs).
• Hands-on experience with LangChain and agent-based orchestration frameworks.
• Familiarity with cloud-based GenAI platforms and enterprise AI tools.

Responsibilities

• Participate in data extraction, transformation, and preparation for analytics.
• Develop and validate models using statistical or ML techniques and collaborate to deploy them into analytics tools.
• Support model testing, evaluation, and selection based on business metrics.
• Contribute to the development of advanced analytics and AI applications including LLMs.
• Document model development, testing, and deployment for reproducibility and auditability.
• Collaborate with business and technology teams to translate requirements into actionable models.

Skills

Generative AI & LLMs

LangChain

Vector databases

Embeddings

AI copilots/assistants

Cloud GenAI platforms

Education

Bachelor’s degree or foreign equivalent

Three years progressive experience in lieu of education

Tools

SAS

R/Python

Job description

Infosys Limited in Tampa, FL is seeking a Data Science Consultant 1 to advance generative AI initiatives within the DNA unit. You will work on data extraction, model development, and deployment of analytics tools supporting business insights and decision-making.

The role emphasizes collaboration with business and technology teams, hands-on ML model development, and documentation for reproducibility in a fast-paced, learning-driven environment.