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Senior Nlp Coach Jobs (NOW HIRING)

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Fine-tune and evaluate generative models (e.g., GPT-4.1) for NLP use cases, including summarization ... Mentor and uplift junior engineers through design reviews, code reviews, and coaching * Communicate ...

Senior Data Scientist

Baltimore, MD · On-site +1

$155K - $194K/yr

... coaching, and collaborative problem solving. * Establish and promote best practices for MLOps ... Develop and implement advanced NLP solutions, including text classification, entity recognition ...

... on the innovations in NLP, AI, ML and enterprise software. We are the future of business ... Coach the cross-functional project team on the business perspective and data domain to inform ...

Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills ... financial coaching and more. Additional details about total compensation and benefits will be ...

... on the innovations in NLP, AI, ML and enterprise software. We are the future of business ... Coach the cross-functional project team on the business perspective and data domain to inform ...

... search or NLP. As a Sr. Data Scientist, you will serve as a lead on data science projects ... Provide mentoring and coaching to more junior roles to support their technical competencies;

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How much do senior nlp coach jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior nlp coach in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.
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Sr. GenAI Engineer

Sr. GenAI Engineer

Inficare Technologies

Jersey City, NJ • On-site

$108K - $149K/yr

Contractor

Posted 15 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.