GenAI Full Stack Developer

BlackCube Labs; Bloomfield (CT); Hybrid; USD 120,000 - 160,000; Full time

Job summary

BlackCube Labs in Bloomfield, CT is seeking a GenAI Full Stack Developer to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows integrated with scalable, cloud-native applications.

You will build backend services with Java Spring Boot, React/Angular, and connect to Azure OpenAI / OpenAI, ensuring secure, compliant deployment via CI/CD, containers, and Kubernetes.

Qualifications

• Minimum 2 to 3 years of Generative AI / AI-driven solution development.
• Having certification in Gen AI/AI driven solutions is an advantage.

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

Skills

Gen AI

Agentic AI

Java Full Stack

Job description

Job Title: GenAI Full Stack Developer
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
• 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