10 days ago
Base Salary
$89k - $207k/yr
Responsibilities
- Build production AI applications using Gemini models and Vertex AI.
- Design and implement single-agent and multi-agent systems using Google ADK and related Google agent capabilities.
- Develop agent tools, function-calling integrations, state, sessions, context management, memory, approval workflows, error handling, retries, and fallback behaviors.
- Build enterprise RAG pipelines covering ingestion, chunking, embeddings, indexing, retrieval, and grounding.
- Integrate agents with APIs, databases, enterprise applications, operational systems, enterprise knowledge, and structured business data.
- Develop evaluation pipelines, golden datasets, regression tests, agent execution tracing, guardrails, and production observability.
- Debug agent loops, incorrect tool calls, orchestration failures, hallucinations, context problems, retrieval failures, latency, and reliability issues.
- Build Python-based supporting services and REST/event-driven integrations.
- Deploy AI applications on Google Cloud, including secure IAM, service accounts, secrets, containerized workloads, serverless or Kubernetes platforms, Terraform, logging, tracing, monitoring, and operational diagnostics.
Requirements
- Deep technical ability to personally design, code, deploy, and troubleshoot enterprise agentic AI solutions.
- Experience building production applications with Gemini models and Vertex AI.
- Experience designing AI agents with Google ADK, agent tools, function calling, orchestration, state, sessions, context, and memory patterns.
- Experience building RAG pipelines and optimizing retrieval quality and grounded response generation.
- Experience developing evaluation pipelines, regression tests, golden datasets, guardrails, observability, and agent reliability diagnostics.
- Proficiency with Python and REST or event-driven integrations.
- Experience deploying applications on Google Cloud and working with IAM, service accounts, secrets, Docker, serverless or Kubernetes platforms, and Terraform.
- Ability to work from incomplete business problems to working solutions and debug systems in customer environments.
Benefits
- Hybrid work from Chicago, Atlanta, Nashville, Dallas, or New York.
- Comprehensive benefits package for regular full-time employees, including paid time off, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Reasonable workplace and recruitment-process accommodations are available.
Tech Stack
Categories
Forward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.