Galent logo
Galent Verified
AI/ML, SaaS, Software, Natural Language Processing

Senior Gen AI Engineer

United StatesOnsiteFull TimeSeniorPosted 2 months ago

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Role summary

We are seeking a Senior Gen AI Engineer to design, develop, and deploy AI solutions using LLMs, vector databases, and cloud infrastructure. You will be responsible for building and fine-tuning generative AI models, implementing RAG systems, and integrating GenAI capabilities into scalable applications. Key tasks include developing LLM-based applications with frameworks like LangChain, designing RAG pipelines with vector databases, building chatbots and content generation tools, containerizing services with Docker and FastAPI, and collaborating with teams to operationalize GenAI use cases. You will also manage prompt engineering, model selection, and performance tracking in production.

Position: Senior Gen AI Engineer

Location: NJ / NYC (onsite)

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’ll 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 (Azure Cognitive Search, Pinecone, FAISS, 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.

Preferred Qualifications:

● Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

● Experience in developing PoCs or production-grade AI applications.

Your expertise in transforming LLMs, RAG, and Agentic AI systems into secure and scalable platforms is highly relevant to this role. I also noticed that you follow our client’s page, which indicates your interest in their work.

Ready to apply?
You'll be redirected to Galent's application page.

Similar roles