Technology Lead | Cloud Integration | Azure Data Factory (ADF)

Do you have a pre-identified candidate? New sourcing? Existing Subcon? New Sourcing



Do you have a preferred interview schedule?: ASAP.



Would you require the candidates to meet you for an in-person interview?: No



Is Skype/WebEx interview OK?: Yes



Work Location with ZIP: Bloomfield, CT



Is remote work an option?: Hybrid.



If remote work, please indicate how many days are required to be in the office and remote: 3 days in office.



Chance to be perm?: TBD, based on performance.







Performance Expectations:



Technical Hiring Criteria (Must Haves) 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



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.



Any additional information you would like to share about the project specs/nature of work: The details are available in attachment.

JD - GEN AI Developer

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

Project Code: ENAC Portfolio Application Development S