EI
GenAI Full Stack Developer
eTeam Inc.
🇺🇸 United States
On-site
3 weeks ago
- Machine Learning
- AI
- Java
- RAG
- Large Language Models
- Spring Boot
- Microservices
- React.js
- Angular
- LLM APIs
- Azure OpenAI
- OpenAI
- CI/CD
- LangChain
- LangGraph
- Pinecone
- FAISS
- Azure AI
- Azure
- AWS
- Docker
- Kubernetes
- Cursor
3 weeks ago
Location: Bloomfield, CT (Hybrid)
Must Haves:
Gen AI & 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
Top 3 Required skills:
Gen AI,
Agentic AI and
Java Full Stack
Years of experience in each of the must-have skills: Minimum 2 to 3 Years of Generative AI / AI-driven solution development
Any Certifications required: Having certification in Gen AI/AI driven solutions is an advantage.
Summary:
Looking for a Gen AI & 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
GenAI Full Stack Developer · eTeam Inc.