Job Title: Sr. GenAI Engineer
Location: Jersey City, NJ (5 Days Onsite)
Job Type: 12+ Month Contract
Experience: 15+ years
Job Overview
Our client is seeking a highly skilled Senior GenAI Engineer with a strong focus on Generative AI and Agentic development. The ideal candidate will design, develop, and implement Gen AI applications and algorithms that enhance enterprise AI capabilities, while serving as a hands-on engineering leader across multiple workstreams.
Key Responsibilities
- Design and develop scalable Gen AI and LLM/GenAI systems for complex business problems
- Build, deploy, and operate production-grade ML and Generative AI services end-to-end
- Build and institutionalize MLOps capabilities, including automated pipelines, monitoring, and model lifecycle management
- Implement multi-modal RAG systems and Agentic AI architectures for enterprise solutions
- Fine-tune and evaluate generative models (e.g., GPT-4.1) for NLP use cases, including summarization and text generation
- Implement real-time model performance monitoring and optimization
- Mentor and uplift junior engineers through design reviews, code reviews, and coaching
- Communicate AI/ML capabilities and results to both technical and non-technical stakeholders
Required Skills
- Strong knowledge of NLP, LLM app development, and Agentic Design
- Experience developing multi-modal RAG systems for enterprise solutions
- Proficiency in Python, R, or Java
- Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API
- Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks
- Containerization: Docker, Kubernetes; microservices architecture
- Understanding of statistics, deep learning, GANs, VAEs, classification, regression, time series, reinforcement learning
- Ability to design Agentic AI architecture, including context engineering and RAG
Preferred Skills
- Expertise in RAG pipeline design and implementation.
- Hands-on knowledge of Chain-of-Thought, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- Familiarity with the financial services industry.
- DevOps practices and Agile methodologies.