Job Title :AI Engineer
Job Type :W2 Contract
Location :Remote
Duration :10 months
Bill Rate :$75/Hr on w2
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
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 (Google Cloud Platform), 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 Google Cloud Platform AI/ML services and Agentic AI capabilities, contributing to internal knowledge sharing, best practices, and the evolution of Capgemini'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:- 8+ 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 (Google Cloud Platform), 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 Google Cloud Platform
- 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
Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
