Why This Role Stands Out
This role offers an exciting opportunity to shape the future of enterprise solutions by leveraging cutting-edge Generative AI and LLM technologies, building impactful applications with a strong Java Full Stack foundation. You will thrive here if you possess a passion for innovation, a knack for complex problem-solving, and a desire to be at the forefront of AI development. Apply today to join a forward-thinking team and make a significant contribution to the technological landscape.
Quick Overview
Job Description
Job Title: GenAI & Agentic AI Developer with Java Full Stack Exp
Location: Bloomfield, CT / Onsite
Duration: 6 months
Summary:
Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions,
including RAG architectures and autonomous agent workflows, integrated with scalable, cloud-native applications.
Responsibilities:
· Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
· Build and implement RAG-based architectures and agentic / multi-agent workflows for intelligent automation
· Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular
· Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search
· Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines
· Collaborate with cross-functional teams to deliver AI-enabled, production-grade solutions
Required Skills:
· Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks
· Hands-on experience in Generative AI, LLMs, and RAG-based solution development
· Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)
· Experience in agentic AI patterns, including multi-agent systems and tool-based integration
· Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques
· Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
· Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots
· Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs
· Understanding of enterprise AI governance, security, and compliance standards
Experience:
5-8 years overall experience with 2+ years in Generative AI / AI-driven solution development
Thanks and Regards,
Rahela Banu | IT Recruiter
ASCII Group, LLC
| Direct #
38345 W 10 Mile Rd, Suite 365, Farmington, MI 48335
Website:
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