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Sr Staff Genai Engineer

  • ... Posted on: Feb 23, 2026
  • ... Interon IT Solutions
  • ... New York City, New York
  • ... Salary: Not Available
  • ... Full-time

Sr Staff Genai Engineer   

Job Title :

Sr Staff Genai Engineer

Job Type :

Full-time

Job Location :

New York City New York United States

Remote :

No

Jobcon Logo Job Description :

Title - Sr./Staff GenAI Engineer

Location: Onsite at NYC

Employment Type: W2

Experience Level: Senior

Required skills

8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer

2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.

Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications

Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.

Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.

Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.

Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Jobcon Logo Position Details

Posted:

Feb 23, 2026

Employment:

Full-time

Salary:

Not Available

City:

New York City

Job Origin:

CIEPAL_ORGANIC_FEED

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Title - Sr./Staff GenAI Engineer

Location: Onsite at NYC

Employment Type: W2

Experience Level: Senior

Required skills

8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer

2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.

Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications

Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.

Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.

Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.

Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

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