Agentic AI Developers

Capgemini

Charlotte (NC)

On-site

USD 58,000 - 90,000

Full time

9 hours ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Retirement benefits

Job summary

Tundra Technical Solutions in Charlotte, NC is seeking an experienced AI Developer – AI Ops to design, develop, and deploy AI solutions on Google Cloud Platform for client projects.

You will work with data scientists, architects, and program managers to translate AI requirements into scalable, production‑grade systems using Python (FastAPI/Flask) and GCP services, delivering end‑to‑end AI pipelines and robust integrations.

Qualifications

  • 7+ years of experience in software or AI development with a strong portfolio of delivered solutions leveraging Agentic AI, Conversational AI, or NLP-based technologies on cloud platforms.
  • Deep hands-on expertise with Google Cloud Platform (GCP), including practical experience with Cloud Run, Cloud Scheduler, and Secrets Manager, as well as proficiency with Google GECX Platform and DialogFlow AI
  • Strong programming skills in Python, with proven experience building and deploying RESTful APIs and microservices using frameworks such as FastAPI and Flask in production environments.
  • Solid understanding of AI Ops principles, including model deployment, monitoring, automation, and lifecycle management, with the ability to design end‑to‑end AI pipelines on GCP.

Responsibilities

  • Designing, developing, and deploying Agentic AI and Conversational AI solutions on Google Cloud Platform to deliver measurable business value.
  • Building backend services and RESTful microservices with Python (FastAPI/Flask) for robust AI components integration.
  • Collaborating with data scientists, architects, and program managers to translate AI requirements into scalable solutions within an AI Ops delivery framework.

Skills

GCP expertise
DialogFlow AI
Python development
RESTful APIs
FastAPI/Flask
AI Ops

Tools

Cloud Run
Cloud Scheduler
Secrets Manager
GECX Platform
DialogFlow AI

Job description

As an Agentic AI Developer – AI Ops, you will be responsible for designing, developing, and deploying cutting‑edge AI solutions leveraging Google Cloud's ecosystem. In this role you will play a key role in:

Designing and developing Agentic AI and Conversational AI solutions using Google GECX Platform and DialogFlow AI, building intelligent autonomous agents that deliver measurable business value for clients

Developing and deploying scalable, production‑grade AI applications on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Cloud Scheduler, and Secrets Manager to ensure robust, secure, and high‑performance deployments

Building and maintaining backend services and APIs using Python and modern frameworks including FastAPI and Flask, ensuring seamless integration between AI components, cloud infrastructure, and client systems

Collaborating closely with cross‑functional teams including data scientists, architects, and program managers to translate complex AI requirements into elegant, scalable technical solutions within an AI Ops delivery framework

Continuously evaluating and adopting emerging GCP AI/ML services and Agentic AI capabilities, contributing to internal knowledge sharing, best practices, and the evolution of Company's AI Ops delivery standards


We are looking for a passionate and skilled AI Developer who thrives at the intersection of cutting‑edge AI and cloud engineering. The ideal candidate will have:

7+ years of experience in software or AI development, with a strong portfolio of delivered solutions leveraging Agentic AI, Conversational AI, or NLP-based technologies on cloud platforms

Deep hands‑on expertise with Google Cloud Platform (GCP), including practical experience with Cloud Run, Cloud Scheduler, and Secrets Manager, as well as proficiency with Google GECX Platform and DialogFlow AI

Strong programming skills in Python, with proven experience building and deploying RESTful APIs and microservices using frameworks such as FastAPI and Flask in production environments

Solid understanding of AI Ops principles, including model deployment, monitoring, automation, and lifecycle management, with the ability to design end‑to‑end AI pipelines on GCP

Excellent problem‑solving skills and a collaborative mindset, with the ability to communicate complex technical concepts clearly to both technical and non‑technical stakeholders across global teams

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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