Overview
On Site
$DOE
Contract - W2
Contract - of Contract
Skills
Python
NLP
Generative AI
Lang Chain
LoRa
Job Details
Job Title: Generative AI Engineer
Location: Richmond, VA
Domain: Finance
Duration: Long Term Contract
Looking for W2. 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, Crew AI), 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, Lang Chain, 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, Crew AI).
- 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:
Jahnavi G
Phone:
Email:
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