Gen AI Consultant- Data Scienctist

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Nityo Infotech Corporation
Bridgewater, NJ, United States
  • Production
  • FullTime

Job Title – Gen AI Consultant with Generative AI, Agentic AI
Location -Alpharetta, GA, Bridgewater, NJ, Charlotte, NC, Denver, CO, Hartford, CT, Houston, TX, New York, NY, Palm Beach, FL, Phoenix, AZ, Raleigh, NC, Richardson, TX, Tampa, FL, Tempe, AZ, Washington, VA( Telephonic Interview )

Please note that only for this location-,Bridgewater, NJ

candidates will be required to attend a face-to-face, single-round interview on 21st November at Bridgewater, NJ.

Job Description:

Gen AI / Agentic AI Consultant to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.

Required Qualifications

  • Bachelor s degree in Computer Science, AI/ML, or related field.
  • 4 years of experience in software engineering or data science, with 2 3 years in Gen AI or LLM-based systems.
  • Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
  • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
  • Familiarity with cloud platforms and Gen AI services (AWS, Azure, Google Cloud Platform).
  • Experience with REST API development (FastAPI, Flask) and containerization (Docker).
  • Solid understanding of AI governance, model safety, and prompt engineering.

Key Responsibilities

  • Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
  • Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
  • Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
  • Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, Google Cloud Platform Vertex AI).
  • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
  • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
  • Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
  • Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
  • Mentor junior engineers and contribute to code reviews, design discussions, and best practices.

Preferred Qualifications:

  • Exposure to agentic workflows and autonomous agents.
  • Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
  • Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
  • Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
  • Experience with multimodal models and perception systems (e.g., vision + language).
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