What are the responsibilities and job description for the Gen AI/ML Engineer position at Jobs via Dice?
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Hello,
Greetings from Galent,
This is Dinesh R and I'm a Recruitment executive with Galent,.
We are one of the premier Talent Solutions partners with global fortune brands, helping them find the right talent for their teams working on next generation technology innovations.
If you are interested, please share me with your updated resume,
Job Title: Generative AI Engineer
Location: NYC/NJ
Job Details
As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using Large Language Models (LLMs), vector databases, and cloud-based infrastructure. You will be responsible for building and fine-tuning generative AI models, developing Retrieval-Augmented Generation (RAG) systems, and integrating GenAI capabilities into scalable applications.
Key Responsibilities
Dinesh R
Senior Talent Acquisition Specialist- Recruitment
Email :
Hello,
Greetings from Galent,
This is Dinesh R and I'm a Recruitment executive with Galent,.
We are one of the premier Talent Solutions partners with global fortune brands, helping them find the right talent for their teams working on next generation technology innovations.
If you are interested, please share me with your updated resume,
Job Title: Generative AI Engineer
Location: NYC/NJ
Job Details
As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using Large Language Models (LLMs), vector databases, and cloud-based infrastructure. You will be responsible for building and fine-tuning generative AI models, developing Retrieval-Augmented Generation (RAG) systems, and integrating GenAI capabilities into scalable applications.
Key Responsibilities
- Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex
- Design and implement RAG pipelines using vector databases such as Azure Cognitive Search, Pinecone, FAISS, and Weaviate
- Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models
- Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions
- Collaborate with cross-functional teams to identify and operationalize GenAI use cases
- Implement monitoring, evaluation, and prompt optimization workflows
- Manage prompt engineering, model selection, and performance tracking in production
- 5 years of experience in AI/ML, Data Science, or related fields
- Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or a related field
- Experience in developing PoCs and production-grade AI applications
Dinesh R
Senior Talent Acquisition Specialist- Recruitment
Email :