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.
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...
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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