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Senior Databricks Developer Jobs in New Jersey (NOW HIRING)

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

AWS, Azure, Google Cloud Platform, Snowflake, or Databricks * Containerization: Docker, Kubernetes ... Familiarity with the financial services industry. * DevOps practices and Agile methodologies.

Senior Applied AI ML Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

As a Senior MLE on the team, you will design, build and productionize Risk typologies/ features ... Design, build, and operate risk features data pipelines in Databricks * Conduct monitoring to ...

New

Sr. Data engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Role: Data engineer- Databricks Location: Rutherford, NJ • Good decision-making and problem-solving skills • Solid understanding of Databricks fundamentals/architecture and have hands on ...

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local ... Develop, optimize, and maintain big data pipelines using Apache Spark, Azure Databricks, and ...

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Senior Data Analyst Location: Piscataway, NJ (Hybrid/Onsite) Experience: 10-12+ Years Mandatory ... Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.

Showing results 41-60

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Infographic showing various Senior Databricks Developer job openings in New Jersey as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Sr. GenAI Engineer

Inficare Technologies

Jersey City, NJ • On-site

$108K - $149K/yr

Contractor

Re-posted 7 days ago


Job description

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.