Gen AI/ Agentic AI Engineer
hace 10 días
Whippany
Job Title: Gen AI/ Agentic AI Engineer Job Location: Whippany, NJ (Onsite/Hybrid) Job Description We are seeking a highly skilled GenAI/Agentic AI Engineer with deep hands‑on experience in Agentic AI frameworks such as Deep Agent Frameworks, LangChain, and LangGraph, along with strong expertise in Claude models via Amazon Bedrock. The ideal candidate will have extensive experience designing and implementing multi-agent, tool‑using, autonomous AI systems for enterprise‑scale use cases. This role requires strong Python engineering capabilities, in-depth knowledge of AWS-native data and AI services, and a solid foundation in Generative AI concepts, scalable AI workloads, and production-grade architectures. Required Skills • Strong proficiency in Python, with the ability to write clean, modular, production-grade code for enterprise applications., • Experience building APIs, microservices, and backend services specifically tailored for AI/GenAI workloads., • Solid understanding of object-oriented design, asynchronous programming, and scalable backend architectures., • Hands‑on experience with Deep Agent Frameworks, LangChain, and LangGraph for building agentic AI systems., • Strong understanding of Generative AI concepts, including-Prompt engineering & orchestration, • RAG (Retrieval-Augmented Generation) architectures, • Practical, hands-on experience working with Claude models via Amazon Bedrock., • Familiarity with evaluation frameworks, hallucination mitigation techniques, and response quality controls for LLMs., • Strong experience with key AWS Data & AI services, including:, • Amazon Bedrock, • AWS Glue (ETL & metadata pipelines), • Amazon Athena (querying structured & unstructured data), • Amazon S3 (object storage, data lake, document repositories), • Understanding of IAM, security, encryption, observability, logging, and AI workload cost optimization., • Experience integrating agents with APIs, databases, enterprise systems, and document repositories., • Practical exposure to agent observability, explainability, fault tolerance, and execution monitoring., • Ability to translate complex business workflows into agent-based execution plans and autonomous task flows. Key Responsibilities • Design, develop, and deploy agentic AI solutions using Deep Agent Frameworks, LangChain, and LangGraph., • Build multi-agent workflows leveraging LLMs (including Claude on Amazon Bedrock) for reasoning, orchestration, and autonomous task execution., • Develop robust Python-based services, APIs, and pipelines for GenAI and AI-driven automation., • Integrate agents with AWS data services (Glue, Athena, S3, etc.) for retrieval, processing, analytics, and orchestration., • Implement RAG (Retrieval-Augmented Generation) and advanced tool-enabled agent patterns., • Ensure all solutions are scalable, secure, auditable, and production-ready., • Collaborate with data platform, architecture, and product teams to translate business problems into agent-based AI architectures., • Contribute to technical standards, architecture decisions, and reusable frameworks for GenAI and agent ecosystems., • Support model governance, prompt versioning, observability, and performance optimization. The base compensation range for this role in the posted location is: 80786-90539 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 until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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