Software Engineer - Agentic AI engineer

Capgemini • Atlanta, GA

28d • $76,730 - $150,800 • Hybrid

About The Position

Capgemini is hiring an experienced software development professional to build agentic AI solutions and automate complex business workflows. The role is hybrid and based in Atlanta or Nashville. The engineer will use Google Cloud and Vertex AI technologies to develop intelligent agents, multi-agent systems, data pipelines, model workflows, and real-time inference capabilities. Capgemini describes a collaborative team environment with mentoring and coaching.

Requirements

• Strong background in software development.
• Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
• Advanced SQL skills for BigQuery.
• Python expertise for ML engineering.
• Experience with data preprocessing techniques such as scaling, encoding, and imputation.
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
• Familiarity with stateful real-time processing and current innovations in agentic architectures.

Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
• Use the Agent Developer Kit to build and manage multi-agent systems that address end-to-end business challenges.
• Implement tools such as the Model Context Protocol Toolbox to connect agents securely with enterprise databases, including BigQuery and Spanner.
• Use Vertex AI for model training, tuning, evaluation, and deployment.
• Integrate Vertex AI with BigQuery for feature engineering.
• Build and optimize streaming data pipelines using Dataflow.
• Execute real-time inference through the RunInference API or Vertex AI endpoints.
• Ground AI models in current business context using vector engines within BigQuery or AlloyDB.

Benefits

• Paid time off, including vacation, company-paid holidays, personal days, and sick leave, according to employee grade and policy.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits according to local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed