Gen AI Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

Job Title: GenAI Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.
Contact: 12 Months
Looking for W2 candidates. No C2C

Job Summary
We are looking for an experienced GenAI Engineer to design and build next-generation AI applications using Google Gemini, Vertex AI, and the Google Cloud Platform (Google Cloud Platform) ecosystem. The ideal candidate will have strong expertise in LangChain, LangGraph, Retrieval-Augmented Generation (RAG), agentic AI workflows, and scalable cloud-native architectures. This role involves building production-grade AI solutions, integrating LLMs into enterprise applications, and developing intelligent multi-agent systems.

Key Responsibilities

·       Design, develop, and deploy Generative AI applications powered by Google Gemini (Pro, Flash, Ultra) and Vertex AI.

·       Build advanced prompt pipelines, RAG applications, and AI workflows using LangChain.

·       Design and implement stateful, multi-agent AI systems using LangGraph.

·       Develop scalable AI solutions utilizing Google Cloud services including Vertex AI Search, BigQuery, Cloud Run, Cloud Storage, and IAM.

·       Build robust data ingestion pipelines supporting multiple document formats.

·       Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant.

·       Optimize LLM performance using prompt engineering, few-shot learning, and PEFT techniques.

·       Establish evaluation metrics for LLM accuracy, latency, hallucination detection, and model performance.

·       Implement LLMOps best practices including observability, scalability, monitoring, and security.

·       Develop REST APIs using FastAPI or Flask to expose AI services.

·       Collaborate with Product Managers, Data Engineers, and Front-End Developers to integrate AI capabilities into enterprise applications.

Required Qualifications

·       Strong programming experience in Python.

·       Experience building REST APIs using FastAPI or Flask.

·       Hands-on experience with Google Gemini APIs, Vertex AI, and other enterprise LLM platforms.

·       Strong expertise with Langchain and LangGraph.

·       Experience implementing RAG architecture.

·       Strong knowledge of Google Cloud Platform (Google Cloud Platform).

·       Experience with Vertex AI, IAM, Cloud Run, BigQuery, and Google Cloud Storage.

·       Experience working with Vector Databases including Pinecone, Weaviate, Qdrant, Chroma, or Milvus.

·       Strong SQL and NoSQL database experience.

·       Experience debugging complex AI pipelines and distributed applications.

·       Strong problem-solving and communication skills.

Preferred Qualifications

·       Google Cloud Professional Machine Learning Engineer Certification.

·       Google Cloud Professional Cloud Architect Certification.

·       Experience with Llama Index.

·       Experience with Hugging Face.

·       Experience with React and TypeScript.

·       Knowledge of Agentic AI architectures.

·       Experience with MLOps or LLMOps platforms.

Required Skills

·       Python

·       Google Gemini

·       Vertex AI

·       Google Cloud Platform (Google Cloud Platform)

·       Langchain

·       LangGraph

·       FastAPI

·       Flask

·       RAG

·       Prompt Engineering

·       Vector Databases

·       Pinecone

·       Weaviate

·       Qdrant

·       Chroma

·       Milvus

·       BigQuery

·       Cloud Run

·       Google Cloud Storage

·       REST APIs

Preferred Skills

·       Llama Index

·       Hugging Face

·       React

·       TypeScript

·       PEFT

·       LLMOps

·       Agentic AI

·       Vertex AI Vector Search

·       Few Shot Learning

·       Cloud Architecture

Best Regards:

Peerbhi SK
Phone:
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