Generative AI Engineer
Generative AI Engineer
Posted on :
12-08-2025
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1 Vacancy
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Job Description
Job Title: Generative AI Engineer
Location: Charlotte NC
Domain: Finance
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
Job Description / Responsibilities:
Provide technical leadership in developing and implementing Generative AI solutions for enterprise-grade applications.
Design fine-tune and deploy large language models (LLMs) and multimodal models tailored to solve specific business challenges.
Collaborate with product managers and engineering teams to translate business problems into scalable AI solutions.
Architect build and operationalize MLOps pipelines to support the full lifecycle of generative AI models including data preparation model training validation deployment and monitoring.
Lead POC development and evaluation of cutting-edge open-source and commercial AI models (e.g. GPT Claude Gemini Mistral).
Advocate for and implement responsible AI practices including fairness transparency privacy and security in model development and deployment.
Research and adopt state-of-the-art GenAI techniques such as Retrieval-Augmented Generation (RAG) prompt engineering agent-based workflows (LangGraph CrewAI) and vector database optimization.
Actively contribute to AI community discussions within the organization; share reusable frameworks templates and tools.
Develop reusable AI services using APIs and microservices architecture for integration into downstream platforms.
Provide technical leadership in developing and implementing Generative AI solutions for enterprise-grade applications.
Design fine-tune and deploy large language models (LLMs) and multimodal models tailored to solve specific business challenges.
Collaborate with product managers and engineering teams to translate business problems into scalable AI solutions.
Architect build and operationalize MLOps pipelines to support the full lifecycle of generative AI models including data preparation model training validation deployment and monitoring.
Lead POC development and evaluation of cutting-edge open-source and commercial AI models (e.g. GPT Claude Gemini Mistral).
Advocate for and implement responsible AI practices including fairness transparency privacy and security in model development and deployment.
Research and adopt state-of-the-art GenAI techniques such as Retrieval-Augmented Generation (RAG) prompt engineering agent-based workflows (LangGraph CrewAI) and vector database optimization.
Actively contribute to AI community discussions within the organization; share reusable frameworks templates and tools.
Develop reusable AI services using APIs and microservices architecture for integration into downstream platforms.
Required Qualifications:
7 years of overall experience in data science/ML with at least 3 years focused on Generative AI NLP or foundation models.
Strong proficiency in Python and libraries like PyTorch Hugging Face Transformers LangChain OpenAI SDK.
Expertise in LLM tuning techniques: instruction tuning RLHF quantization LoRA etc.
Experience with vector databases like FAISS Pinecone Weaviate or Chroma.
Deep understanding of foundational models tokenization strategies and transformer architectures.
Hands-on experience building agentic frameworks (LangGraph AutoGen CrewAI).
Experience working with GPU environments and distributed training setups.
Familiarity with Azure AI Studio Vertex AI or AWS Bedrock for cloud-native model deployment.
Strong understanding of secure APIs scalable inference infrastructure and observability frameworks (e.g. Prometheus Grafana).
7 years of overall experience in data science/ML with at least 3 years focused on Generative AI NLP or foundation models.
Strong proficiency in Python and libraries like PyTorch Hugging Face Transformers LangChain OpenAI SDK.
Expertise in LLM tuning techniques: instruction tuning RLHF quantization LoRA etc.
Experience with vector databases like FAISS Pinecone Weaviate or Chroma.
Deep understanding of foundational models tokenization strategies and transformer architectures.
Hands-on experience building agentic frameworks (LangGraph AutoGen CrewAI).
Experience working with GPU environments and distributed training setups.
Familiarity with Azure AI Studio Vertex AI or AWS Bedrock for cloud-native model deployment.
Strong understanding of secure APIs scalable inference infrastructure and observability frameworks (e.g. Prometheus Grafana).
Best Regards:
Tarun K
Phone: 1-
Tarun K
Phone: 1-
Employment Type
Full-time
Key Skills
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