GenAI Engineer

Position:
GenAI Engineer

Location:
Richardson, TX OR Woonsocket, RI – Onsite

Type of Hire:
Long Term Contract

Role

Description:

• Strong experience designing and implementing Generative AI solutions, including LLMs and diffusion models.
• Hands-on expertise in model fine-tuning and prompt engineering for domain-specific applications.
• Deep knowledge of machine learning frameworks, including Tensor Flow, PyTorch, Hugging Face Transformers, and Open AI APIs.
• Experience with cloud platforms such as AWS, Azure, and GCP, including deploying AI services at scale.
• Solid understanding of MLOps best practices, including CI/CD, model versioning, and automated deployments.
• Proficiency in Python programming and scripting for automation.
• Knowledge of APIs and microservices architectures for integrating Generative AI into applications.
• Strong understanding of data privacy, AI ethics, and regulatory compliance requirements.
• Experience with vector databases such as Pinecone, Weaviate, or Qdrant for semantic search applications.
• Familiarity with GenAI orchestration frameworks, including Lang Chain, Llama Index, or similar tools.
• Experience with custom model training workflows, including distributed training and hyperparameter tuning.
• Knowledge of real-time inference systems and low-latency serving strategies.
• Experience integrating chatbots, virtual assistants, or content automation solutions into business workflows.
• Exposure to knowledge graphs, embeddings, and semantic search techniques.
• Strong background in data engineering to manage large-scale datasets for training and fine-tuning.
• Contributions to the GenAI community through research papers, blogs, or open-source projects are a plus.

• Define scalable, modular, and secure Generative AI architectures on cloud platforms (AWS, Azure, GCP).
• Implement data pipelines for training, fine-tuning, and serving large-scale AI models.
• Lead model fine-tuning efforts using custom datasets for domain-specific applications.
• Integrate Generative AI models with APIs, user interfaces, and business workflows.
• Optimize inference pipelines for performance, latency, and cost efficiency.
• Establish model versioning, monitoring, and rollback strategies.
• Collaborate with Data Scientists, MLOps Engineers, Product Managers, and business stakeholders to translate use cases into technical solutions.
• Provide technical leadership, conduct code reviews, and promote best practices for Generative AI development.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.