Capgemini · 1 week ago
Agentic AI Developer
NYC Metro Area
Full-time
Onsite
Senior LevelCapgemini is seeking an Agentic AI Developer who is passionate about emerging technologies and has expertise in agentic AI. The role involves designing and implementing AI-driven systems, including building multi-node decision models and enhancing the accuracy of agentic responses.
Cloud ComputingConsultingSoftwareProperty & Casualty InsuranceInformation TechnologyInsurTechIT Management
Responsibilities
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
Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, data scraping/extraction, converting unstructured data to structured, 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 LangChain/LangGraph/LangSmith/Google Gemini/OpenAI's API, OpenAI's Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker
Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc
Ability to Present Proof of Concepts Well: Enough frontend, backend, devops experience to craft proof of concepts for agentic AI solutions
Strong knowledge of full-stack development for AI-driven applications
Familiarity with Docker, Kubernetes, and DevOps methodologies
Background in AI research and experimentation
Strong problem-solving abilities and analytical thinking
Entrepreneurial and adaptable mindset in a fast-paced environment
Excellent communication skills to convey AI-driven insights to non-technical stakeholders
Ability to work independently and collaboratively in an agile team
Qualification
Required
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
Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, data scraping/extraction, converting unstructured data to structured, 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 LangChain/LangGraph/LangSmith/Google Gemini/OpenAI's API, OpenAI's Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker
Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc
Ability to Present Proof of Concepts Well: Enough frontend, backend, devops experience to craft proof of concepts for agentic AI solutions
Strong problem-solving abilities and analytical thinking
Entrepreneurial and adaptable mindset in a fast-paced environment
Excellent communication skills to convey AI-driven insights to non-technical stakeholders
Ability to work independently and collaboratively in an agile team
Preferred
Strong knowledge of full-stack development for AI-driven applications
Familiarity with Docker, Kubernetes, and DevOps methodologies
Background in AI research and experimentation
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
Founded in 1967
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas SBU | Member of the Group Executive Board
Recent News
2026-02-06
Company data provided by crunchbase