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# Software Developer - Database L3

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $103,646.0 - $161,949.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Databases, Software Debugging, Distributed Systems, Monitoring of Systems, Intrusion Detection Systems, Python (Programming Language), Rapid Prototyping Process, Software Engineering, Chatbots, ReactJS, Multi-Agent Systems, Infrastructure as Code (IaC), Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Virtual Agents, Terraform, Programming Languages, Microservices
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6d0b3eba0ca30b5f

## About the Role

* Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
 * 5+ years of software development experience using Python or similar programming languages.
 * Experience architecting AI solutions on cloud platforms (e.g., GCP).
 * Experience deploying resources using Terraform or similar infrastructure-as-code tools.
 * Experience building full-stack applications that interact with enterprise IT infrastructures.
 * Experience delivering external customer projects and working directly with customer stakeholders.

Required Technical Skills

 * Python
 * Conversational AI
 * Agentic AI / Multi-Agent Systems
 * Cloud Architecture (GCP)
 * Terraform
 * Infrastructure as Code (IaC)
 * Full-Stack Development
 * API Integration
 * MLOps
 * Evaluation (Eval) Frameworks
 * Observability & Monitoring

Preferred Qualifications

 * Master's or PhD in AI, Computer Science, or a related technical field.
 * Experience implementing multi-agent systems using frameworks such as ReAct and self-reflection.
 * Experience debugging agent logic and optimizing tool selection.
 * Experience tracing conversation IDs across microservices and troubleshooting distributed systems.
 * Experience connecting AI agents to enterprise knowledge bases.
 * Experience optimizing RAG chunking and retrieval strategies.
 * Track record of troubleshooting live, high-traffic production systems during critical business windows.
 * Ability to travel up to 50% of the time.

## Description

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure., * Serve as the lead developer for complex Conversational AI and CX applications, transitioning rapid prototypes into production-grade agentic workflows, including multi-agent systems and MCP servers, that drive measurable ROI.

 * Architect and develop conversational flows that integrate Google Conversational AI products with customers' existing infrastructure, including APIs, legacy data sources, and security environments.
 * Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, improve reasoning and tool selection, reduce latency, and maintain production-grade security and networking standards.
 * Identify repeatable field patterns and technical friction points within Google's Applied AI stack and convert them into reusable modules or product enhancement requests.
 * Partner with customer engineering teams to establish development best practices, drive successful deployments, and maximize user adoption.
 * Lead technical delivery for Conversational AI pilots and customer-facing AI implementations.