eTeam
Title: AI/ML Engineer
Location: Weehawken, NJ Onsite
Duration: 6 Months Contract
Job Description:
We are seeking a highly skilled and innovative AI/ML Engineer with strong experience in Java, Python, and advanced AI/ML frameworks and cloud services. The ideal candidate will have a deep understanding of building intelligent systems using tools such as Spring AI, Langchain, LangGraph, Agno, and TensorFlow, along with hands-on expertise in Azure AI services, including Azure OpenAI and Azure AI Search.
This role is ideal for someone passionate about building real-world AI solutions, especially around RAG (Retrieval-Augmented Generation) and agent-based architectures.
Key Responsibilities: Design and develop AI-driven applications using Java (Spring AI) and Python. Implement and optimize solutions using Langchain, LangGraph, Agno, and TensorFlow. Develop and deploy intelligent agents and RAG pipelines, including Agentic RAG, functional calling, and context engineering. Work extensively with Azure OpenAI, Azure AI Search, and other Azure cloud services for AI workloads. Engineer effective prompts, optimize embeddings/chunking strategies, and enable real-time data integration. Utilize vector databases (e.g., FAISS, Pinecone, Weaviate) for embedding storage and similarity search. Collaborate with data scientists, product managers, and engineering teams to deliver scalable AI solutions. Maintain clean, testable, and well-documented code and pipelines.
Required Skills: Strong programming skills in Java and Python. Experience with modern AI/ML frameworks: Spring AI, Langchain, LangGraph, Agno, TensorFlow. Hands-on experience with Azure AI services, including: Azure OpenAI Azure AI Search
Proficiency in: RAG (Retrieval-Augmented Generation) Agentic RAG Function calling Prompt and context engineering Real-time data integration Embedding and chunking strategies Experience with vector databases for similarity search and indexing.
Key Responsibilities: Design and develop AI-driven applications using Java (Spring AI) and Python. Implement and optimize solutions using Langchain, LangGraph, Agno, and TensorFlow. Develop and deploy intelligent agents and RAG pipelines, including Agentic RAG, functional calling, and context engineering. Work extensively with Azure OpenAI, Azure AI Search, and other Azure cloud services for AI workloads. Engineer effective prompts, optimize embeddings/chunking strategies, and enable real-time data integration. Utilize vector databases (e.g., FAISS, Pinecone, Weaviate) for embedding storage and similarity search. Collaborate with data scientists, product managers, and engineering teams to deliver scalable AI solutions. Maintain clean, testable, and well-documented code and pipelines.
Required Skills: Strong programming skills in Java and Python. Experience with modern AI/ML frameworks: Spring AI, Langchain, LangGraph, Agno, TensorFlow. Hands-on experience with Azure AI services, including: Azure OpenAI Azure AI Search
Proficiency in: RAG (Retrieval-Augmented Generation) Agentic RAG Function calling Prompt and context engineering Real-time data integration Embedding and chunking strategies Experience with vector databases for similarity search and indexing.