Agentic Gen AI Engineer

Agentic Gen AI Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

** Location*
* The Job location is New Jersey - Onsite Hybrid

** Job Description*
* ** We are seeking a skilled Agentic AI Engineer with:*
* + A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications.

+ Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains.

+ Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions

+ Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale.

*
* Required Qualifications:

*
* + Agentic AI Construction:
Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, state graphs/agentic memory, calling APIs

+ Agentic AI Guidance:
Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations

+ Experience building with Lang Chain/Lang Graph/Lang Smith/Google Gemini/OpenAI's API, OpenAI's Swarm/, vector databases, fine-tuning, Sage Works, Bed Rock, Docker

+ AI Centered Coding Workflow:
Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc.

** Nice to Have*
* Strong knowledge of full-stack development for AI-driven applications.

Familiarity with Docker, Kubernetes, and Dev Ops methodologies.

Background in AI research and experimentation."

The base compensation range for this role in the posted location is: 103330 - 128656

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

** Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
** In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

+ Paid time off based on employee grade (A-F), defined by policy:
Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

+ Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

+ Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

+ Life and disability insurance

+ Employee assistance programs

+ Other benefits as provided by local policy and eligibility

** Important Notice:
** Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable…