Agentic AI Engineer - Software Engineer

Capgemini

Atlanta, GA, United States

22 days ago

Apply on www.capgemini.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.capgemini.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Electronic Data Interchange (EDI) Identity and Access Management JSON Python (Programming Language) Systems Integration Scripting

+10 more

Google Cloud Large Language Models Prompt Engineering Gitlab-ci Kubernetes Low Latency Data Management Virtual Agents Restful APIs Docker

Job description

Build agent workflows using prompts, tools, APIs, enterprise knowledge and structured data.
Deploy and operate applications on Google Cloud using secure, observable and repeatable engineering practices.
Configure and extend conversational and customer-experience use cases, including virtual agents, agent assistance and workflow automation.
Test, troubleshoot and optimize agent behavior, integrations, latency, reliability and user experience.
Create technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients.
Apply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle.

Requirements

4 plus years experience working on Python: scripting, API integration, and application-level development
Cloud Platforms: hands-on experience with at least one major cloud provider (GCP preferred; Strong Azure or AWS also acceptable) compute, networking, IAM, and basic service deployment
Experience in deployment with containerization and orchestration (Docker, Kubernetes)
Understanding/Exp of CI/CD concepts and tools (GitLab CI/CD or equivalent)
Understanding working exp of REST APIs and JSON-based data exchange
Prior exposure to GenAI concepts (LLMs, prompt engineering, embeddings)
Familiarity with Google Cloud console navigation and Vertex AI / Agent Platform tools Preferred